[0001]
This application claims the March 11, 2016 filed Chinese Patent Application No. 201610141563.1, entitled priority "apparatus and method for wireless communications, parameter optimization apparatus and method," the Chinese patent application, the entire contents of incorporated by reference in the present application.
FIELD
[0002]
Relates to the field of wireless communication [0001] Embodiments of the present invention, particularly it relates to link adaptation techniques fast time-varying channel environment, and more particularly, to an apparatus and method for receiving side wireless communications, for wireless communication and the transmitting side apparatus and method, and a method and apparatus for optimizing the effective SNR mapping algorithm parameters.
Background technique
[0003]
With the development of modern transportation technology, in some special occasions, such as high-speed railway (currently at speeds up to 350km / h) and other applications requiring high-speed data transmission to achieve in the fast-moving conditions. At this time, the conventional wireless transmission technology faces many problems in high-speed mobile environment in which channel change impact on system performance when fast large.
[0004]
Currently, link adaptation techniques are widely used in modern mobile radio communication systems. The main idea is based on measurement of the current channel propagation conditions to estimate future channel propagation conditions, by receiving estimates of future radio channel propagation conditions of the end of adaptively adjusting the sender sends the modulation method and the coding efficiency of the signal, and the like, in order to maximize system throughput. When the radio channel propagation condition is preferably employed when the modulation index and a higher coding efficiency, and vice versa.
[0005]
When under fast varying channel environment, the channel time changes rapidly, therefore, since the channel quality indication mismatch between the channel quality feedback caused by the current channel quality feedback delay parameters become severe, and the channel prediction algorithm Since the performance parameters of the radio channel time correlation is low and a sharp deterioration could exacerbate the above mismatch problems. Further, since the calculation of the channel quality indication is based on information frame time range, while varying channel environment such that radio channel parameters quickly even in the same message frame range is changed, which makes assessment of channel quality more difficult.
[0006]
In view of the above problems, it is desirable to provide new and more efficient link adaptation techniques.
[0007]
SUMMARY
[0008]
A brief overview of the present invention hereinafter in order to provide a basic understanding of some aspects of the present invention. It should be understood that this summary is not an exhaustive overview of the invention. It is not intended to identify key or critical part of the invention, nor is it intended to limit the scope of the present invention. Its sole purpose is to present some concepts in a simplified form, as a prelude to the more detailed description that is discussed later.
[0009]
According to one aspect of the present disclosure, there is provided an apparatus for wireless communication, comprising: receiving a signal dividing unit configured to received signals by a multi-antenna spatial division, in order to obtain a plurality of spaces divided signals, respectively; and channel estimation unit configured to split signals based on a plurality of spatial channel estimation in each space, respectively.
[0010]
According to another aspect of the present application also provides a method for wireless communication, comprising: receiving a signal by a multi-antenna spatial division, in order to obtain a plurality of spaces divided signals, respectively; and a plurality of the divided signal based on the spatial channel estimation separately on each block.
[0011]
The above-described apparatus and methods for wireless communication according to application-based space dividing signals for channel prediction to take advantage of the strong time of each space divided signals correlated to obtain accurate channel prediction result, improved wireless communication system throughput under varying channel environment in the fast.
[0012]
According to another aspect of the present application also provides optimized device parameters for an effective SNR mapping algorithm, comprising: a filter group including a plurality of spatial filter filters orthogonal to each other, configured to the received signal by a multi-antenna spatial division quadrature filter, respectively, to obtain a plurality of orthogonal spatial division filtered signal; modeling unit is configured to utilize the respective filter coefficient calculation filter for filtering a spatial order corresponding orthogonal from regression coefficients of the channel model, and to merge the respective autoregressive channel model to obtain the equivalent channel autoregressive model; and generating a radio channel implemented, and implemented using the wireless channel to optimize the production of a radio channel implemented, and the use of wireless channels to achieve the optimized parameters.
[0013]
According to another aspect of the present application also provides a method of optimizing parameters for the effective SNR mapping algorithm, comprising: a filter bank each filter using a filter coefficient calculated for the orthogonal filter a respective space order auto regression coefficients of the channel model, and combining the respective autoregressive model to obtain equivalent channel autoregressive channel models, wherein the plurality of filters comprise a filter bank filtering space orthogonal to each other, and the plurality of antennas by the received signals are spatially filtered quadrature divider for dividing respectively the plurality of orthogonal spatial filtered signal; and using an equivalent to produce a radio channel to achieve a first order autoregressive model of the channel, and the wireless channel used to achieve the optimized parameters .
[0014]
The apparatus and method for optimizing the parameters of the effective SNRs for the mapping algorithm of the present disclosure each respective filter coefficients of the orthogonal filter bank channel model is established by using spatial filtering, makes it possible to be achieved by only one channel effective SNR mapping algorithms to optimize the parameters, the computation is greatly reduced, reducing the complexity of the parameter optimization, and realized for optimization and not statistically optimal specific channel, thereby improving the accuracy of the parameter optimization , improve the throughput of the wireless communication system.
[0015]
According to another aspect of the present disclosure, an apparatus is also provided a receiving terminal for wireless communications, comprising: a measuring unit configured to periodically measure the average number of the spread and the moving velocity Fanggen Bo apparatus; a judging unit, configured to is determined based on a change instruction value mean moving speed and extended Fanggen Bo exceeds a predetermined range; and a transceiver unit configured to transmit the unit judges that the change to the transmitting end when the instruction value exceeds a predetermined range in said determination, so that the transmission end determines the number of cycles means reporting channel quality indicator and channel quality indication for each transmission based on the instruction value.
[0016]
According to another aspect of the present application also provides a method for receiving wireless communications terminal, comprising: periodically measuring the average number of extended Fanggen Bo and the moving speed of the receiving end; determination based on the number average Fanggen Bo and the moving speed of expansion change in the instruction value exceeds a predetermined range; and transmitting the instruction value when the determined variation exceeds the predetermined range to the transmitting end, so that the transmitting end based on the instruction value determines the receiving end reporting cycle of channel quality indication and channel quality for each transmission of the number indicated.
[0017]
According to another aspect of the present application, it is also provided a transmitting side apparatus for wireless communications, comprising: a receiving unit configured to receive from the terminal based on the received information is a value indicating the number of the spread and the moving velocity Fanggen Bo; determining unit is configured to operate according to the instruction value determines the receiving end reporting cycle of channel quality indication and the number of the channel quality for each transmission of the instruction; and a transmission unit configured to transmit a channel quality indication report to a receiving end of the cycle and the number of relevant information.
[0018]
According to another aspect of the present application, is also provided a method for transmitting a wireless communication terminal, comprising: receiving from the reception side based on the information indicative of the mean value and the moving speed of the expansion Fanggen Bo; instruction value determined based on the reception side periodic reporting of the channel quality indication and the number of the channel quality indication for each transmission; and transmitting information indicative of the channel quality reported to the receiving end and the number of cycles.
[0019]
The above-described apparatus and method for transmitting and receiving ends for wireless communication according to the present disclosure can be according to a change reporting mode channel quality indication based on the indication values ​​mean Fanggen Bo extended and the moving speed adaptively, thereby effectively saving feedback channel H.
[0020]
Computer program code and a computer program according to another aspect of the present invention there is also provided a method for wireless communication, a method for transmitting end and a receiving end of the wireless communications parameters and the optimization of the effective SNR for a method of mapping algorithm products, and a computer on which is recorded the computer program code for implementing these methods readable storage medium.
[0021]
Detailed description of the preferred embodiments of the present invention in conjunction with the following drawings, the above and other advantages of the present invention will become more apparent.
BRIEF DESCRIPTION
[0022]
To further illustrate the above and other advantages and features of the present invention, the following drawings of specific embodiments of the present invention will be further described in detail in conjunction. The drawings together with the detailed description are included in the present specification and a part of this specification is formed. Elements having the same function and structure are denoted with the same reference numerals. It should be understood that a typical example of the present invention that these drawings depict only, and should not be considered as limiting the scope of the present invention. In the drawings:
[0023]
FIG. 1 is a block diagram illustrating a configuration for a wireless communication apparatus according to one embodiment of the present disclosure is based;
[0024]
FIG 2 is a block diagram illustrating a prediction unit in accordance with the channel to one embodiment of the present application;
[0025]
FIG 3 is a block diagram illustrating a prediction unit according to the effective SNRs of the embodiment according to the present disclosure;
[0026]
FIG 4 is a block diagram illustrating a configuration for a wireless communication apparatus according to another embodiment of the present disclosure according to the embodiment;
[0027]
FIG 5 is a block diagram illustrating an apparatus for transmitting a wireless communication terminal of the present disclosure according to one embodiment;
[0028]
FIG 6 is a diagram illustrating an example of a table used in determining unit;
[0029]
FIG 7 is a block diagram illustrating an apparatus for receiving wireless communication terminal according to the present disclosure according to one embodiment;
[0030]
FIG 8 is a block diagram showing a configuration according to one embodiment of the apparatus of the present application optimized parameters effective SNR mapping algorithm;
[0031]
FIG 9 is a flowchart illustrating a method for wireless communication according to an embodiment of the present application;
[0032]
FIG 10 is a flowchart showing the sub-steps of the step S13 in FIG 9;
[0033]
FIG 11 is a flowchart illustrating optimized parameters effective SNR mapping algorithm for an embodiment of a method embodiment of the present disclosure;
[0034]
FIG 12 is a flowchart illustrating a method for transmitting a wireless communication terminal according to one embodiment of the present application;
[0035]
FIG 13 is a flowchart illustrating a method for receiving a wireless communication terminal according to one embodiment of the present application;
[0036]
14 is a diagram illustrating an example of the information flow between the transmitting and receiving ends; and
[0037]
FIG 15 is a block diagram of an exemplary configuration of a personal computer according to the general method of Example of the present invention and / or devices and / or systems may be implemented.
Detailed ways
[0038]
The exemplary embodiment of the present invention will be described below in conjunction with the accompanying drawings. For clarity and conciseness, in the specification are not all features of an actual implementation. However, it should be understood that many decisions must be made to the specific embodiments of the development of any such actual embodiment of the process in order to achieve the developer's specific goals, such as compliance with those restrictions related systems and services, and these restrictions may be subject to change with different embodiments. In addition, it should be understood that, although the development work can be very complex and time-consuming, but the benefit of this disclosure to those skilled in the, this development is only a routine task.
[0039]
Here, also be noted that, in order to avoid unnecessarily obscuring the details of the present invention, the drawings only shows a solution according to the present invention closely related to the device structure and / or processing steps, omitted Further details of the present invention has little relationship.
[0040]

[0041]
FIG 1 shows a block diagram for a wireless communication apparatus according to one embodiment 100 of the present disclosure, the apparatus 100 comprising: receiving a signal division unit 101, configured to received signals by a multi-antenna spatial division, to a plurality of spaces divided signals respectively; and a channel prediction unit 102, configured to split signals based on a plurality of spatial channel estimation in each space, respectively.
[0042]
Wherein the apparatus 100 positioned as a receiving terminal apparatus for wireless communication, the apparatus may for example be a user equipment, or in the user equipment, the user equipment such as a mobile terminal serving base station (such as a smart phone, a tablet personal computer (PC), notebook PC, a portable game terminal, a portable / dongle type mobile router and a digital camera) or a vehicle-mounted terminal (such as a car navigation device) or the like, the user device may also be implemented as a terminal machine executed by a machine (M2M) communication (also referred to a machine type communication (MTC) terminal). In addition, the user device may be a wireless communication module on each terminal attached to the terminal (such as a wafer, comprising a single integrated circuit module). Further, the apparatus 100 may be located at the base station of the receiving end of a wireless communication, the base station may be implemented as any type of evolved Node B (eNB). Alternatively, the base station may be implemented as any other type of base station, such as base transceiver stations and NodeB (BTS). The base station may include: a body configured to control wireless communication (also referred to as base station apparatus); and one or more remote radio heads disposed at different places of the main body (RRH). Further, various types of terminal devices can by temporarily or semi-persistent perform work station functions as a base station.
[0043]
More generally, the device 100 of the present application is not limited to be applied to a cellular mobile communication system, not limited to existing wireless communication standards, but may be applied to a multi-antenna reception antenna (hereinafter also referred to as an array antenna) any communication system.
[0044]
In the apparatus 100, using the received signal dividing unit 101, the received signal is divided in the space, since the space division signal having a strong temporal domain correlation, and therefore based on the channel space into signals for channel prediction at all spatial respective prediction prediction unit 102 has higher accuracy and robustness.
[0045]
In one example, the reception signal dividing unit 101 includes a filter bank, the filter bank comprises a plurality of mutually orthogonal spatial filter filters, is configured for the received signal by a multi-antenna spatial division quadrature filter, respectively, to obtain a plurality of orthogonal spatial division filtered signal, wherein the channel estimation unit 102 is configured based on a plurality of orthogonal spatial division filtered signal on each channel estimation in an orthogonal spatial filter, respectively.
[0046]
In the array antenna receiving the signal, the signal filter bank splitting the received orthogonal spatial filtering. Specifically, the filter bank comprises a plurality of filters, each spatial filter filters orthogonal to each other. For example, the number of filter depends on the number of receive antennas N, the filtering process can be represented by the following formula (1).
[0047]
r = My (1)
[0048]
Wherein, y is a length N vector of the received signal, r is a length N vector of the filtered signal, F is of size N * N of orthogonal spatial filter matrix division, which elements on the k-th row corresponding to the k-th filter filter coefficient, the length is N. Each of the filter coefficients, for example, be extended by an equivalent minimum wavenumber spectrum to determine the like. For example, these filter coefficients according to the shape of the receiving antenna array is determined, arrival angle estimation is not required, and these coefficients can be obtained by offline calculation in advance.
[0049]
As one example, for a linear array antenna (antenna number N), when the minimum equivalent method wavenumber spectrum to determine the extension of the respective filter coefficients of the N filters to be used, the following formula may be used (2) to optimized to obtain an optimal angle of each spectral filter start offset angle.
[0050]
[Number 0001]

[0051]
Wherein, to optimize the angle of the n-th spectrum corresponding to the initial offset angle filter, in the formula
[0052]
[Number 0002]

[0053]
Wherein the n-th filters are Fanggen Bo corresponding extension number, [alpha] n and [theta] n is the n th spectral filter corresponds to an angle width and angle spectra initial offset angle, K 0 = 2 [pi] / [lambda], [lambda] is wavelength.
[0054]
Obtaining an optimal initial offset angle , the optimum coefficient can be calculated by the spatial filter array beam pattern conventional linear synthetic methods. For example, Fourier series methods can be employed to calculate the optimal spatial filtering coefficients B Q , namely:
[0055]
[Number 0003]

[0056]
Wherein the U- n (U) is the n-th spatial filter corresponding to the optimal beam pattern array, which may be formed and determined. Is the n-th optimum level spatial filter coefficients of q, [Delta] R & lt = L R & lt / N, L R & lt receiving antenna normalized length.
[0057]
In another example, each of the filter coefficients are set such that the angle of arrival of each spatial filtered signal to the quadrature divider defined within each respective range of different filters. In an implementation, various segmentation methods to separate the different ranges of angle of arrival of the respective filters, for example between 0-π divided intervals and the like, and determines the coefficients of the filter based on the range, which may be of any the method of determining a filter coefficient of the conventional (e.g. a linear array beam pattern above synthesis method, etc.), not described herein again.
[0058]
In the reception signal after the filter bank, to obtain a plurality of orthogonal spatial division filtered signals, i.e. filter bank 101 is divided into a plurality of received signals in signals received on the spatial signal. A plurality of orthogonal spatial division filtered signal to the channel estimation unit 102 obtained by the channel estimation, respectively, for example, to compensate for the delay in the feedback parameter indicative impact on system performance based on the channel quality obtained by the channel estimation.
[0059]
It will be appreciated, the channel prediction more accurate the channel quality is then obtained an indication of feedback parameters more accurate, the more accurate the feedback, the modulation method which determines the encoding efficiency more suitable conditions of the channel, thus ensuring communication quality to maximize the throughput of the system case.
[0060]
Wherein the channel estimation unit 102 may employ various channel estimation algorithms, including, but not limited to linear interpolation algorithm, the third order spline interpolation algorithm. Since the spatial filtered signal to the quadrature divider having a strong correlation in time domain, the channel estimation unit 102 therefore has higher prediction accuracy and robustness.
[0061]
In one example, shown in Figure 2, the channel prediction unit 102 may include: an estimation module 1021, is configured based on the respective spatial filtered signal to the quadrature divider equivalent channel parameters of the respective orthogonal spatial filtering to estimate; and a prediction module 1022, configured to the equivalent channel parameter estimation module 1021 performs channel estimation based on a prediction filter to remove each, respectively.
[0062]
Since the spatial filtering separately for each orthogonal channel estimation and prediction, and this channel is not an actual channel, thus resulting in the estimated channel parameters and channel parameters called the equivalent SNR and the equivalent SNR. The channel estimation method may be employed channel estimation method based on training pilots, blind channel estimation methods may also be employed. Wherein each of the multipath channel orthogonal filter parameters for each space may be represented by the following formula (5):
[0063]
h k＝[h 0,k h 1,k…h L-1,k] (5)
[0064]
Wherein, H I, K = [H I, K (0) H I, K (. 1) ... H I, K (M-. 1)], H I, K (n-) are the k (k = 1, ... ..., N) orthogonal spatial filter in the i-th multipath of n (n = 0, ......, channel coefficient M-1) at the sampling time, L is multipath number, related to the channel environment, M is the frame length. Multipath is the presence of a plurality of reflectors wireless channel so that the received signal is a plurality of transmission signals weighted replica of different delays.
[0065]
After obtaining the above channel parameters, the prediction module 1022 using the channel prediction algorithm are for future radio channel parameter prediction in respective orthogonal filtering space to compensate the channel quality indication feedback parameters delayed impact on system performance estimation module 1021 estimates the channel.
[0066]
Predicting the future radio channel parameters to compensate for the channel quality feedback indication parameter impact on system performance is then delayed using the channel prediction algorithm. As described above, various channel prediction algorithm may be employed to predict. The following linear interpolation of the outer channel estimation algorithm as an example of the channel estimation algorithm is described, it is to be understood that this is merely exemplary and not limiting. An outer linear interpolation channel prediction algorithm with low complexity and robust performance and other characteristics, the following formula (6):
[0067]
[Number 0004]

[0068]
Wherein a k-th orthogonal spatial filtering the i-th multipath channel coefficients at the n-th sampling time is predicted.
[0069]
Apparatus 100 by performing spatial filtering separately on each orthogonal channel estimation, obtaining a more accurate prediction results, thereby improving the throughput of the wireless communication system change in the fast channel.
[0070]
The dashed box in FIG. 1, the device 100 may further comprises: an effective SNR predicting unit 103, configured to channel prediction based on the channel prediction unit 102 to predict the results obtained the effective signal to noise ratio of the received signal; and a channel quality It instructs the calculation unit 104, configured to calculate the effective SNR based on the channel quality indicator (channel quality Index, CQI).
[0071]
Here, since the variable channel environment noise ratio can still be varied within a range of fast, effective SNRs and therefore need to measure the channel quality. The effective SNRs for example, be predicted based on the respective signal to noise ratio of a predicted frame using a mapping algorithm to obtain the effective SNRs, wherein the prediction signal to noise ratio based on the channel prediction result is obtained. The effective SNR indicating the predicted channel quality, and therefore, in order to obtain an accurate channel quality indication, want to accurately predict the effective SNR.
[0072]
In one example, shown in Figure 3, the effective SNR predicting unit 103 comprises: SNR prediction module 1031, is configured based on the channel prediction result predicted SNR of each spatial filtered signal to the quadrature divider; merging module 1032, configured to split signal to noise ratio of each spatial quadrature filtered signal to obtain a combined predicted combined equivalent SNR; and a calculation module 1033, configured to calculate the effective SNR based on the equivalent SNR combined.
[0073]
Equivalent channel prediction parameters of formula (6) obtained in an example, the prediction module 1031 may signal to noise ratio by the following formula (7) calculates the predicted SNR of each spatial filtered signal to the quadrature divider.
[0074]
[Number 0005]

[0075]
Wherein, n 0 is the initial sampling time for measuring the signal frame SNR, the SNR I, K (n 0 + T) is the estimated signal to noise ratio of a received signal obtained by the measurement, is the predicted n-th sample time k-th orthogonal spatial filtering of the i-th path signal to noise ratio.
[0076]
Next, the merge module 1032 to calculate SNR of the combined signal according to the prediction signal to noise ratio on each of the obtained orthogonal spatial filtering, i.e., combined equivalent SNR. Calculation merging module 1032 employed combined with the relevant algorithm, merge module 1032 to merge one merge can be used in the following manner: the maximum ratio combining, equal gain combining and selective combining and the like. For example, it is possible that the filtered noise variance in each orthogonal space are approximately equal, thus the combined signal to noise ratio can be finally obtained SNR of each spatial prediction using the filtered signal to the quadrature divider calculated.
[0077]
As one example, when using the maximum ratio combining, (8) were combined to calculate the equivalent SNR formula may be used.
[0078]
[Number 0006]

[0079]
Next, the calculation module 1033, based on the equivalent SNR to compute the effective SNR combined. The combined SNR computation module 1033 may use the effective SNR mapping algorithm to compute the effective noise ratio equivalent based on the respective frame. Example effective SNR mapping algorithm includes an exponential effective SNR mapping algorithm (Exponential Effective SNR Mapping Algorithm) and mutual information effective SNR mapping algorithm (Mutual Information Effective SNR Mapping Algorithm), but is not limited thereto. In the following the mapping algorithm effective SNRs mutual information will be described as an example.
[0080]
Effective SNR mapping algorithm mutual information is calculated by the following equation (9) effective SNRs.
[0081]
[Number 0007]

[0082]
Wherein, the SNR eff is the effective SNR calculated, β is the off-line algorithm needs to predetermined optimal parameters. I (·) is a compression function mapping the SNR for calculating mutual information, which can be performed by a calculation known numerical method, not described in detail here.
[0083]
Be seen, the effective signal to noise ratio based on the prediction results of each spatial channel orthogonal filter obtained, since each orthogonal channel prediction for the spatial filtering of the results more accurate and robust, so here also predicted with higher effective SNR accuracy.
[0084]
After obtaining the effective signal to noise ratio, channel quality indicator calculating unit 104, for example by table lookup to obtain the CQI based on the effective SNR parameter. Wherein the table parameter may be different CQI values ​​corresponding to the SNR threshold, the table can be obtained by simulation under conditions of additive white Gaussian noise channel offline computer. Specifically, the channel quality indicator CQI calculating unit 104 calculates parameters to be reported by the following formula (10).
[0085]
[Number 0008]

[0086]
Wherein the case of the modulation parameter and the coding efficiency corresponding to the i th CQI values for the off-line simulation in AWGN channel conditions a frame error rate signal to noise ratio obtained at 10% value, Q is the CQI table the number of values. In other words, the formula (10) selects the SNR eff closest corresponding CQI.
[0087]
In the present embodiment, the apparatus 100 respectively by dividing the filtered signal based on an orthogonal spatial channel estimation, can be utilized various spatial filtered signal to the quadrature divider strong time correlation, so as to obtain an accurate channel estimation result can be obtained more further for the accurate channel quality indicator, the wireless communication system to improve the throughput under varying channel environment in the fast.
[0088]

[0089]
In the apparatus 100, since the calculation module 1033 calculates an effective SNR before the parameters required to optimize the algorithm β, in the prior art, which usually takes a lot of computer simulation. This is because, ideally need to traverse all possible wireless channels to achieve computer simulation respectively to obtain the symbol error rate performance in environments radio channels to achieve, and then optimize these parameters by a certain optimization criterion. Minimum mean square error optimization criterion, for example, the optimization process can be represented by the following formula (11).
[0090]
[Number 0009]

[0091]
Wherein the number of parameters to optimize the value of beta], Y is employed to optimize the parameters for beta] channel realizations, the BLER Pred, i (beta]) corresponding to the i-th channel signal to noise ratio achieved by the mapping algorithm and efficient check table predicted block error rate, the BLER SIM, i corresponding to the actual block error rate of the i-th channel is achieved by a computer simulation obtained when the BLER Pred, i (beta]) and the BLER SIM, i when the closest, beta] optimal Since this is calculated on the total effect of Y channel, so "best" means that statistically optimal.
[0092]
Generally, since the case of channel realization is very large, so that the parameter β in order to achieve optimal statistical channel realization requires more number Y. Thus, this approach requires a lot of calculations, and the obtained optimum β statistical sense optimum parameters on average, for a single channel, is not necessarily the optimal parameters to also affect the system performance.
[0093]
To reduce the complexity of parameter optimization and parameter optimization to improve performance, the present embodiment proposes an optimization method based on a autoregressive channel models.
[0094]
Specifically, in the case where the mutual information effective SNR calculated using the mapping algorithm calculation module 1033, module 1033 calculates first order autoregressive channel models to optimize the mutual information effective SNR mapping algorithm parameters. This optimization can be performed off-line in advance, it can also be conducted online. By using autoregressive channel models, may be implemented to generate only one channel and uses the channel parameters to optimize beta] achieved, in this case formula (11) Y 1. In other words, the value of parameter optimization obtained is optimal for the channel, rather than the prior art statistically optimal, it is possible to obtain a more accurate effective SNR, and thus obtain a more accurate channel quality indication value, to further improve the system throughput.
[0095]
For example, the calculation module 1033 creates a first order autoregressive channel models, the respective autoregressive channel models combined equivalent autoregressive channel models, and using the equivalent autoregressive channel model for each of the orthogonal filter space to optimize the above parameters beta], wherein the first-order regression coefficients from the channel model is based on the filter coefficients of the filter of respective quadrature filtering space.
[0096]
For example, the processing described above to (17) represented by the following formula (12).
[0097]
h k (n + 1) = α k h k (n) (12)
[0098]
(12) represents the simplified formula autoregressive model for channel filtering perpendicular to the k-th space. Wherein, the first-order regression coefficients from the channel model can be used to filter respective quadrature signal space corresponding to the maximum Doppler frequency shift is a first variable zero-order Bessel function representation. For example, the coefficient [alpha] K can be in the following table) shows:
[0099]
α k＝J 0(2πf d,kT s) (13)
[0100]
Where J 0 (·) is the zero order Bessel function of the first kind, F D, k is the k-th orthogonal signal space corresponding to the filtered maximum Doppler frequency, Ts represents a symbol period.
[0101]
In the case where a filter bank 101 for filtering the received signal, [alpha] K can be expressed as:
[0102]
[Number 0010]

[0103]
Wherein, [theta] k is the k th filter parameters, is the k th filter of the signal reaches the range defined angle is: [theta] k. 1- <[theta] <[theta] k , [lambda] is the wavelength of the carrier, v representative of the receiving end of the communication the relative moving speed between the transmitting end. K is the number of the filter corresponding to the mean value, namely:
[0104]
[Number 0011]

[0105]
Wherein, S k (W) according to the angle ρ is the spectral shape of the antenna array corresponding to the k ([theta]) and the k-th filter parameter according to the following formula corresponding to the wave number spectrum.
[0106]
[Number 0012]

[0107]
Wherein, W 0 = 2 [pi] / [lambda], [theta] R & lt motion direction angle.
[0108]
When the optimal orthogonal spatial division filter bank, α each orthogonal filter space k approximately equal. When the maximum ratio combining algorithm, for a final channel estimation and optimization of the parameters used in the algorithm β implemented effective SNR can be expressed as:
[0109]
[Number 0013]

[0110]
Wherein, in other words, equivalent to a first order regression coefficients from the channel model is orthogonal to the respective first-order spatial filter employed when the mean maximum ratio combining algorithm, from the square of the obtained regression coefficient of the channel model. It should be understood that, although the use of maximum ratio combining algorithm, but may also use other merge algorithm, for example, the equal gain combining, selective combining and the like.
[0111]
The use of the device 100 of this embodiment is equivalent to a first-order regression from the channel to the channel model to achieve an effective SNR optimization parameters mutual information mapping algorithms, the amount of simulation is reduced, while improving the performance parameter optimization based , thereby further improving the throughput of the system.
[0112]

[0113]
FIG 4 shows a block diagram of the apparatus 200 for wireless communication according to another embodiment of the present application, according to embodiments, in addition to the respective units with reference to the first embodiment other than the described embodiments, apparatus 200 further comprises: a transceiver unit 201, configured to indicating the channel quality of the communication channel transmission device 200 apparatus.
[0114]
In this embodiment, the transceiver unit 201 to provide an indication of the channel quality of the communication apparatus of the present apparatus, for example, so that the apparatus determines a modulation scheme and the coding efficiency and the like. In addition, the transceiver unit 201 may also be configured to receive information transmitted on the channel quality indication from the device, and periodic channel quality indication for each transmission number. In this case, the apparatus 200 transmits the channel quality indication based on the information on the device information and the number of received. For example, the transmission cycle of a channel quality indication may be one or several frames, the transmission cycle is the case where several frames, the number of the channel quality indication may be equal to or smaller than the transmission cycle of the continuous frames, i.e. transmission in the transmission cycle CQI of all continuous frame or only a portion of CQI transmission. For example, the transmission cycle is four, four CQI may be transmitted, or transmitted only CQI such as the former two two CQI. Wherein the number of the channel quality indication of the transmitted prediction may also be referred to as a depth. Under the same conditions stipulated number of frames and the number of reported CQI reporting cycle continuing the information transceiving unit 201 receives the related information may include only the reporting period.
[0115]
Further, as shown in phantom in FIG. 4, the apparatus 200 may further comprise: a measuring unit 202, it is configured to periodically measure the average number of the spread and the moving velocity Fanggen Bo apparatus 200; and a judging unit 203, configured to determine the change in the instruction value based on the mean moving speed and extended Fanggen Bo exceeds a predetermined range, wherein the transceiver unit 201 is further configured to determining unit 203 determines the instruction value transmitted to the device, so that the device according to this variation exceeds the predetermined range the instruction value determination means 200 reports a channel quality indication and the periodic channel quality indication of the number of each transmission.
[0116]
In this example, the measuring unit 202 measure the average Fanggen Bo number of the spread reflects the degree of variation of the channel based on the instruction value mean Fanggen Bo expansion and movement speed reflecting the channel environment, the change in the instruction value reflects the channel environment changes, when the change exceeds the predetermined range, the channel environment described more significant changes may need to adjust the reporting period and the number of the CQI, and therefore, in this case the transceiver unit 201 reports a value indicating the communication apparatus 200 with the appliance . Period measuring unit 202 performs real-time measurement determines the instruction value when the short cycles, the more timely updated to the instruction value.
[0117]
The device may determine CQI reporting period and based on the predicted depth indication values. For example, when the instruction value is increased, indicating varying degrees to improve the channel, it is necessary to report the CQI more frequently, and the predicted depth is reduced, because in this case much more predictive of old. Said apparatus, for example, may indicate a value determined CQI reporting period and the predicted depth by the method according to the look-up table, which will be given later in the detailed description.
[0118]
In one example, the average value of indicates the number Fanggen Bo extension product and a square value of the moving speed. Wherein the moving velocity v may be obtained by measurement.
[0119]
For the k-th orthogonal spatial filter are Fanggen Bo extension number can be expressed as:
[0120]
[Number 0014]

[0121]
Wherein, S K (W) and a respectively defined as the front (15) of formula (16). In one example, the measuring unit 202 may be configured to split each spatial quadrature filtered signal corresponding to the strongest power signal used as the extension number average Fanggen Bo mean Fanggen Bo expansion, or the use of respective orthogonal spatial segmentation power of the filtered signal corresponding to the respective orthogonal spatial filtering Fanggen Bo average number weighted weighted extended and expanded as the mean Fanggen Bo. In the latter case, the final average number of extended Fanggen Bo can be expressed as follows:
[0122]
[Number 0015]

[0123]
Wherein, P k is the k-th orthogonal spatial filter corresponding to the signal power.
[0124]
In this embodiment, the apparatus 200 may change the CQI reporting period and the number of reporting wireless channel in accordance with the environment of the current, to ensure communication quality while efficiently saving the resources of the feedback channel.
[0125]

[0126]
FIG. 5 shows a block diagram of the transmitting side apparatus 300 for wireless communication according to the present embodiment of the application according to one embodiment, device 300 comprises: receiving unit 301, configured to receive based on the average moving speed and the number of the spread Fanggen Bo from the reception side the instruction value; determining unit 302, configured in accordance with the instruction value determines the receiving end reporting cycle of channel quality indication and channel quality for each transmission of an indication of the number; and a transmission unit 303, configured to transmit the channel quality to a receiving end information indicating the number of cycles and reported.
[0127]
Wherein the indicator value may be, for example, average value of the square of the number of expansion and movement speed Fanggen Bo, but is not limited thereto. Average number of examples on the extended Fanggen Bo detailed description has been given of the third embodiment, will not be repeated.
[0128]
Determination unit 302 may determine, for example, the receiving terminal channel quality reporting period indicated by the table lookup based on the instruction value. In one example, the determination unit 302 by comparing the indicator value with a plurality of representative values ​​and select the reporting period with the representative value corresponding to the closest. Further, the determination unit 302 may also select the number of the channel quality indication of each transmitted simultaneously. Alternatively, a separate determination unit 302 then determines the number of cycles after the selection of the reporting.
[0129]
Wherein the representative value may be determined in conjunction with the appropriate system simulation parameters. FIG 6 shows an example of a table determination unit 302 may be used. Wherein, as a first representative value to be compared with a threshold value, a second CQI reporting period, such as the continuous number of frames, the number reported as the third, is optional. For example, when the instruction value closest to the representative value T3, the determination unit 302 determines the number of reporting period and c respectively and N3, the transmission unit 303 transmits the related information c and N3 to the receiving end.
[0130]
It should be appreciated that, if the CQI reported by the reporting period and the number of continuous frames of the same convention, the determination unit 302 may determine only the reporting period, and the transmitting unit 303 may transmit only information reporting period, which may further reduce the signaling overhead.
[0131]
Device 300 may be located in the base station. The base station may be implemented as any type of evolved Node B (eNB). Alternatively, the base station may be implemented as any other type of base station, such as base transceiver stations and NodeB (BTS). The base station may include: a body configured to control wireless communication (also referred to as base station apparatus); and one or more remote radio heads disposed at different places of the main body (RRH). Further, various types of terminal devices can by temporarily or semi-persistent perform work station functions as a base station. However, this is merely exemplary, and may be applied to any wireless device 300 transmitting end link adaptation operations.
[0132]
The apparatus 300 of the present embodiment can be appropriately selected in the receiving side report CQI period and the predicted depth, so that in a case where the communication quality guaranteed effectively reduces the feedback channel savings of resources based wireless channel environment.
[0133]

[0134]
Figure 7 shows a block diagram of an apparatus 400 for receiving a wireless communication terminal of the present disclosure according to one embodiment, the device 400 comprising: a measuring unit 401, is configured to periodically measure the average number Fanggen Bo expansion apparatus 400 and a moving speed; determining unit 402, configured to determine a value indicative of the change based on the mean moving speed and extended Fanggen Bo exceeds a predetermined range; and a transceiver unit 403, is configured to transmit the determination unit 402 determines when the variation exceeds the predetermined range sends indication value, so that the transmission side apparatus 400 determining the number of reporting cycle of channel quality indicator and channel quality indication for each transmission based on the instruction value.
[0135]
Wherein the measurement unit 401, judgment unit 402 and a transceiver unit 403 respectively 202, 201 functions similar to the third embodiment of the measuring unit and a transceiver unit judging unit 203, description thereof is not repeated here.
[0136]
In one example, the indicator value may be, for example, average value of the square of the number of expansion and movement speed Fanggen Bo, but is not limited thereto. Fang Genbo on average the number of samples has also been extended detailed description is given in the third embodiment, will not be repeated.
[0137]
Transceiver unit 403 may also be configured to receive the transmission on channel quality indication from a transmitting side and the periodic channel quality indication information the number of each transmission. In the same convention CQI transmission the number of transmission frames continuing cycle conditions, the information transceiving unit 403 receives the information transmitted may include only the relevant period.
[0138]
In one example, the apparatus 400 further comprises: a filter bank 404, comprising a plurality of spatial filter filters orthogonal to each other, are configured for the received signal by a multi-antenna spatial division quadrature filter, respectively, to obtain a plurality of spatial dividing the filtered quadrature signals, wherein the measurement unit 401 is configured to extend perpendicular to each of the divided spatial filtered signal corresponding to the strongest power signal used as the average number average Fanggen Bo Fang Genbo extension number, or, using each of airspace power of the filtered signal to the quadrature divider respective orthogonal spatial filter corresponding to the average number of extended Fanggen Bo weighted and the weighted mean expansion as the Fanggen Bo.
[0139]
For example, a filter bank 404 filter bank structure and function as in the first embodiment of the embodiment, will not be repeated. In this example, the measurement unit 401 based on the respective orthogonal spatial filter corresponding to the number of extensions to Fanggen Bo are obtained for calculating the average value of indicates the number of extended Fanggen Bo.
[0140]
Apparatus 400 may reside in user equipment, a user terminal device such as a mobile station and services (such as a smart phone, a tablet personal computer (PC), a notebook PC, a portable game terminal, a portable / mobile router and dongle type digital camera) or in-vehicle terminal (such as a car navigation device) or the like, the user device may also be implemented to perform the machine-machine communication terminal (the M2M) (also referred to as machine type communication (MTC) terminal). In addition, the user device may be a wireless communication module on each terminal attached to the terminal (such as a wafer, comprising a single integrated circuit module). However, this is merely exemplary, and may be applied to any wireless device 400 receiving end of the link adaptation operation.
[0141]
Apparatus 400 according to this embodiment can be of an appropriate CQI reporting cycle and the predicted depth radio channel environment to guarantee the communication quality in the case of effectively reduces the feedback channel save resources.
[0142]

[0143]
8 illustrates a block diagram of optimized parameters for the effective SNR mapping algorithm according to one embodiment of the present application apparatus 500 according to the device 500 comprising: a filter bank 501, comprising a plurality of orthogonal spatial filtering filter configured for the received signal by a multi-antenna spatial division quadrature filter, respectively, to obtain a plurality of orthogonal spatial division filtered signal; modeling unit 502, configured to utilize various filters for respective filter coefficient calculation a tap coefficient regression channel model from the orthogonal filter space, and combine the respective autoregressive channel models to obtain an equivalent autoregressive channel model; and optimization unit 503 configured with an equivalent autoregressive channel implement a radio channel model generation, and implemented using the wireless channel to optimize said parameter (e.g. described in the foregoing parameter β).
[0144]
Wherein the filter bank 501 may have the same filterbank described in the first embodiment of the structure and function of the modeling unit 502 may have the second embodiment, the calculation module 1033 in the same structure and function this not elaborate.
[0145]
In one example, the optimization unit 503 using the established modeling unit 502 generates the equivalent first order autoregressive channel models implement a radio channel, and to set the symbol error rate performance when the channel quality parameter different wireless channel environment simulation, and simulation of the set of symbol error rate performance under different channel quality parameter white Gaussian noise channel environment, by two kinds of symbol error rate obtained by the simulation approaches to optimize said parameter β.
[0146]
In the present embodiment, by using only one channel implementation to optimize the signal to noise ratio parameter β efficient mapping algorithms can be greatly reduced computational complexity and parameter optimization, and can not obtain optimal statistics for the channel optimal parameters to improve the accuracy of the parameter optimization, thereby improving throughput of the communication system.
[0147]

[0148]
Apparatus for wireless communication process in the embodiment described above, means for transmitting and receiving ends of the wireless communications parameters and the optimization of the effective SNR mapping algorithm for the apparatus, apparently discloses some process or method. Hereinafter, a summary of these methods is given in the case of some details will not be repeated has been discussed above, it should be noted that although these methods are disclosed in the description of the process of the device, but these methods are not necessarily employed as those described in or member is not necessarily performed by those components. For example, the above-described embodiments of the device may be partially or fully implemented using hardware and / or firmware, and the corresponding method discussed below can be fully implemented by computer-executable program, although these methods may also be employed for the above-described apparatus hardware and / or firmware.
[0149]
FIG 9 illustrates a flowchart of a method for wireless communication according to one embodiment of the present disclosure, the method comprising: receiving a signal by a multi-antenna spatial division, in order to obtain a plurality of respective spatial division signal (S11) ; and a plurality of spatially divided based on the channel estimation signals (S12) in each space, respectively.
[0150]
In one example, the step S11 is performed by a filter bank comprising a plurality of mutually orthogonal spatial filter filters the received signal to the quadrature divider spatial filtering, to obtain a plurality of respective spatial filtered signal to the quadrature divider, at step S12, based on the plurality of orthogonal spatial filtered signal respectively divided channel estimation on the respective orthogonal spatial filtering.
[0151]
Wherein the filter coefficients of each filter are set such that the spatial angle of arrival of the respective filtered signal to the quadrature divider defined within each respective range of different filters. The range may be divided in advance obtained, for example, aliquoted in 0-π.
[0152]
In one example, step S12 may comprise: estimating channel parameters of the equivalent spatial filter based on each of the respective orthogonal spatial division quadrature filtered signal; and an equivalent based on the estimated channel parameters for channel estimation in the spatial filter are each . Wherein, for example, linear extrapolation or third order spline interpolation channel prediction algorithm may be employed.
[0153]
As shown in phantom in FIG. 9, the above-described method may further comprise the step of: based on the channel prediction to predict the results obtained the effective SNRs (S13) the received signal; and calculating a channel quality indication based on the effective SNR (S14 ).
[0154]
In step S14, based on the effective SNR may be calculated by the channel quality indicator table lookup.
[0155]
In one example, FIG. 10, step S13 may include the following sub-steps: based on the channel prediction result predicted signal to noise ratio (S131) ​​each of the divided spatial quadrature filtered signal; respective combined predicted spatial filtering of the quadrature divider signal to noise ratio to obtain an equivalent signal to noise ratio combined (S132); and computing an effective signal to noise ratio (S133) based on the combined equivalent SNR.
[0156]
For example, in one combined step S132 are combined in the following manner may be employed: maximum ratio combining, equal gain combining, selective combining.
[0157]
It based on the equivalent SNR for each frame using combined effective SNR mapping algorithm to compute the effective SNR in step S133. For example, mutual information effective SNR mapping algorithm, exponential effective SNR mapping algorithm may be employed to calculate. In the example of mutual information using a mapping algorithm to calculate an effective SNR, the autoregressive model of the channel of mutual information in an effective SNR mapping algorithm parameters are optimized, the optimization can be performed off-line in advance may be employed, it may be in step S133 online.
[0158]
For example, you can create an autoregressive channel models, the respective autoregressive channel models combined equivalent autoregressive channel models, and using the equivalent autoregressive channel model optimized for each orthogonal filtering space the parameter, wherein the first-order regression coefficients from the channel model is based on the filter coefficients of the filter of respective quadrature filtering space. Wherein, the first-order regression coefficients from the channel model can be used to filter respective quadrature signal space corresponding to the maximum Doppler frequency shift is a first variable zero-order Bessel function representation. When the maximum ratio combining algorithm, an order from the equivalent channel coefficient regression model is orthogonal to the respective first-order spatial filter from mean regression coefficient of the square of the channel model.
[0159]
As shown in phantom in FIG. 9, the above-described method may further comprise the step of: periodically measuring average moving speed of the number of extended Fanggen Bo and apparatus for performing the method (S15); and determining the mean and the mobile-based extended Fanggen Bo change instruction value speed exceeds a predetermined range (S16), when it is determined that variation exceeds the predetermined range to the device transmits instruction value (S17) the device in communication, so that the apparatus determines the apparatus report channel based on the instruction value period and the number of quality indication of the channel quality indication of each transmission, otherwise it returns to step S15.
[0160]
Furthermore, although not shown, the above method may further comprise the step of transmitting an indication to the channel quality of the device. Meanwhile, the method may further comprise transmitting and receiving on a channel quality indication information from the device the cycle number and the channel quality indication of each transmitted to be transmitted according to the channel quality information indicates. For example, the indication value of the square of the value of the number-average Fanggen Bo expansion and movement speed.
[0161]
In step S15, the individual may be orthogonal spatial division filtered signals corresponding to the strongest power signal average as the average number of the spread Fanggen Bo Fang Genbo extension number, or, to use the power of each spatial filtered signal to the quadrature divider spatial filtering perpendicular to the respective corresponding spreading are extended Fanggen Bo number weighted mean weighted sum as the Fanggen Bo.
[0162]
FIG 11 illustrates a method of optimizing parameters for the effective SNR mapping algorithm according to one embodiment of the present disclosure, comprising the steps of: calculating the filtering coefficients of the filter are each set for the respective orthogonal spatial filtering first order regression coefficients from the channel model (S21), wherein the filter bank comprises a plurality of spatial filter filters orthogonal to each other, and received by multi-antenna signal to the quadrature divider are spatially filtered to obtain a plurality respectively dividing a spatial quadrature filtered signal; combined respective autoregressive model to obtain equivalent channel autoregressive channel models (S22); and using the equivalent channel autoregressive model to generate a radio channel implemented, and using the radio channel realization to optimize parameters (S23).
[0163]
FIG 12 illustrates a method for transmitting a wireless communication terminal according to one embodiment of the present disclosure, comprising the steps of: receiving from the receiving end based on the average value indicative of the number of expansion and movement speed Fanggen Bo (S31); indication value according to the determining the number reported by the receiving end (S32) periodic channel quality indicator and channel quality indication of each transmitted; and transmitting information indicative of the channel quality reporting period and number (S33) to the receiving end.
[0164]
For example, in step S32, may be performed by comparing the instruction value and the representative value with a plurality of representative values ​​corresponding to selected reporting period is closest. It should be understood that, under the same conditions stipulated number of frames and the number of reported CQI reporting cycle continued, in step S32 may be determined only the reporting period, and may transmit only the information reporting cycle in step S33.
[0165]
13 illustrates a method for receiving a wireless communication terminal according to one embodiment of the present disclosure, comprising the steps of: periodically measuring average Fanggen Bo extension number and the moving speed (S41) of the receiving end; determination based on mean square change instruction value the number wave expansion and the moving speed exceeds a predetermined range (S42); and transmitting the determined variation exceeds the predetermined range to the transmitting end instruction value (S43), so that the transmitting end based on the instruction value determines the receiving side report channel period and the number of quality indication of the channel quality indication of each transmission, otherwise it returns to step S41. For example, the indication value of the square of the value of the number-average Fanggen Bo expansion and movement speed.
[0166]
Although not shown in FIG. 13, in step S41 may also be performed before spatial filtering of the quadrature divider received by multi-antenna signal by a filter comprising a plurality of mutually orthogonal spatial filtering, to obtain a plurality of respective spatial quadrature divider filtered signal, in step S41 the respective spatial filtering quadrature divider strongest power signal average as the average number of the spread Fanggen Bo Fang Genbo extension number, or, to use the power of each spatial filtered signal to the quadrature divider Fang Genbo average number of spatial extension orthogonal to the corresponding division filtered signal as the weighted average and weighted Fanggen Bo extension number.
[0167]
Further, the method may further include receiving information about the number of cycles of the transmitted channel quality indicator and channel quality indication for each transmission from the transmitting end. It should be understood that, under the same conditions stipulated number of frames and the number of reported CQI reporting cycle duration may also receive information reporting period.
[0168]
For ease of understanding, FIG. 14 shows the flow of information between the transmitting and receiving ends. 14, the transmitting side first sends Fanggen Bo extended and measured mean moving speed and other configuration parameters such as the measurement period to a receiving end, the receiving end, and accordingly the number of measurements were extended Fanggen Bo moving speed, and is determined based on when the average change in the number of expansion and movement speed instruction value of Fanggen Bo trigger condition is met (such as exceeding the predetermined range), sends a measurement report to the transmitting side, for example, the measurement report comprises a value of the instruction, the transmitting end is determined based on the CQI report instruction value and adjustment cycle number and sends it to a receiving end, the receiving end in accordance with the reported CQI adjustment. And the process is repeated periodically. It should be appreciated that the information flow shown in FIG 14 is merely exemplary and not limited thereto.
[0169]
Note that, each of the above methods may be used singly or in combination, the details of the first to sixth embodiments have been described in detail and will not be repeated.
[0170]
Above with reference to specific embodiments describe the basic principles of the invention, however, to be noted that, to those skilled in the art can understand that all or any of the steps or components of the method and apparatus of the present invention may be any computing device ( It includes a processor, a storage medium etc.) or a network computing device, hardware, firmware, software, or a combination thereof to achieve, as one skilled in the art using the basic circuit design in the case of reading the description of the present invention basic programming skills or knowledge will be able to achieve.
[0171]
Those skilled in the art will appreciate that the apparatus described above is, for example a filter bank, the channel prediction unit, the prediction unit effective SNR, channel quality indicator calculation unit, a measuring unit, a determining unit, a modeling unit, the optimizing unit determining means and the like, may be implemented by one or more processors, such as a transceiver unit, transmitting unit, receiving unit and the like, may be implemented by an antenna, a filter, a modem and a codec circuit and other components.
[0172]
Accordingly, the present invention also provides an electronic device (1), comprising: a circuit configured to: on the received signal by a multi-antenna spatial division filtering, to obtain a plurality of spaces divided signals, respectively; and, based on the said plurality of spatial channel estimation signals divided in the respective spaces, respectively.
[0173]
The present invention also provides an electronic device (2), comprising: a circuit configured to: calculate the filter coefficients for the respective orthogonal spaces autoregressive model by using the channel filter coefficients of the respective filters of the filter bank and merge the respective autoregressive model to obtain equivalent channel autoregressive channel models, wherein the filter bank comprises a plurality of spatial filter filters orthogonal to each other, and the received signal by a multi-antenna spatial filtering the quadrature divider, respectively to the plurality of orthogonal spatial division filtered signal; and using the equivalent first order autoregressive generates a radio channel to realize the channel model and implemented using the wireless channel to optimize the parameters.
[0174]
The present invention also provides an electronic device (3), comprising: a circuit configured to: periodically measuring average Fanggen Bo moving speed of the receiving end and the extension number of the electronic device is located; determining, based on the mean square change instruction value and the number of the spread root wave moving speed exceeds a predetermined range; and determining the change in the transmission instruction value exceeds a predetermined range to the transmitting end, such that the sending end to the instruction value determined in accordance with the reporting the number of the receiving end period and the channel quality indication for each transmission channel quality indication.
[0175]
The present invention also provides an electronic device (4), comprising: a circuit configured to: receive information indicating a value based on the mean moving speed and extended Fanggen Bo from the reception side electronic device in communication therewith; according the receiving end of the instruction value determining channel quality indication reporting period and the number of the channel quality indication for each transmission; and transmitting information and the number of periods of the channel quality indication report to the receiving end.
[0176]
Further, the present invention further provides a storing instruction codes are machine readable program product. When the instruction code read and executed by a machine, perform the method according to embodiments of the present invention as described above.
[0177]
Accordingly, program product, for bearing the instruction codes are stored in a machine-readable storage medium is also included in the present invention is disclosed. The storage medium includes, but not limited to, floppy diskettes, optical disks, magneto-optical disk, memory card, memory stick and the like.
[0178]
In the case where the present invention is implemented by firmware or software, a program constituting the software is installed to a computer (e.g. a general purpose computer 1500 as shown in FIG. 15) having a dedicated hardware structure or a network from a storage medium, various programs, which is installed in the computer when you can perform a variety of functions.
[0179]
In Figure 15, a central processing unit (CPU) 1501 or a program loaded in accordance with a read only memory (ROM) 1502 stored in the program from the storage section 1508 to a random access memory (RAM) 1503 performs various processes. In the RAM 1503, it is also necessary when storing data required when CPU 1501 performs the various processes. CPU 1501, ROM 1502 and RAM 1503 are connected to one another via a bus 1504. Input / output interface 1505 is also connected to the bus 1504.
[0180]
The following components are connected to the input / output interface 1505: an input section 1506 (including a keyboard, a mouse, etc.), an output portion 1507 (including a display, such as a cathode ray tube (CRT), liquid crystal display (LCD) and the like, and a speaker, etc.), storage section 1508 (including a hard disk), a communication section 1509 (including a network interface card such as a LAN card, modem, etc.). Via the network communication section 1509 performs a communication process such as the Internet. A drive 1510 is also connected to the input / output interface 1505. Removable medium 1511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like is mounted as needed on the drive 1510, so that a computer program read therefrom is installed into the storage section 1508 as required.
[0181]
In the case where the foregoing series of processes by software, such as the Internet or a storage medium such as the removable medium 1511 from the network constituting the software installation program.
[0182]
Those skilled in the art will appreciate, this storage medium is not limited to 15 shown in FIG stored therein a program, is distributed separately from the device user to provide the program to removable media 1511. Examples of the removable medium 1511 include a magnetic disk (including a floppy disk (registered trademark)), CD (compact disc read-only memory that contains (CD-ROM) and digital versatile disc (DVD)), magneto-optical disk (including a Mini Disk (MD) (registered trademark)), and a semiconductor memory. Alternatively, the storage medium may be a ROM 1502, a storage section 1508 comprising a hard disk, etc., which the program is recorded and which is distributed to a user equipment together.
[0183]
Also be noted that, in the devices, methods and systems of the present invention, the respective components or steps can be decomposed and / or recombined. These decomposition and / or recombination of the present invention should be considered equivalents. Further, the above-described series of processing steps can naturally be performed chronologically in order of description but need not necessarily be performed chronologically. Some steps may be performed in parallel or independently of one another.
[0184]
Finally, it should be noted that the terms "comprises", "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, article, or apparatus not include only those elements but also includes other elements not explicitly listed, or further includes elements of the process, method, article or device inherent. Further, without more constraints, by the wording "include a ......" defined does not exclude the existence of additional identical elements in the element comprising a process, method, article, or apparatus.
[0185]
While the above embodiments are described in detail in conjunction with the accompanying drawings embodiments of the present invention, it should be understood that the embodiments described above are merely illustrative of the invention, but not limit the present invention. Those skilled in the art, various modifications and changes may be made to the above-described embodiments without departing from the spirit and scope of the invention. Accordingly, the scope of the present invention is defined only by the claims and the equivalents of the appended.

Claims
[Claim 1]
An apparatus for wireless communication, comprising: receiving a signal dividing unit configured to received multi-antenna signal by dividing the space to obtain a plurality of spaces divided signals, respectively; and a channel estimation unit configured to dividing the plurality of signals based on the spatial channel on each spatial prediction, respectively.
[Claim 2]
The filter bank of the received signal The apparatus of claim 1, wherein said receiving means includes signal dividing filter bank, the filter bank comprises a plurality of spatial filter filters orthogonal to each other, are spatially divided quadrature filter, respectively to the plurality of orthogonal spatial division filtered signal, wherein the channel prediction unit is configured based on the plurality of orthogonal spatial filtered signal are divided on each spatial channel orthogonal filter prediction.
[Claim 3]
The apparatus according to claim 2, further comprising: an effective SNR prediction unit configured to predict the effective signal to noise ratio of the received signal based on the channel prediction unit using the channel estimation result obtained; and a channel quality indicator calculation means, It is configured based on the effective SNR calculated channel quality indication.
[Claim 4]
The apparatus according to claim 2, wherein the channel prediction unit comprises: estimating module configured to filter the quadrature divider based on the respective spatial signal equivalent channel parameters of the respective orthogonal spatial filtering to estimate; and a prediction module, It said estimation module is configured to estimate the channel parameters of the equivalent channel estimation on each of the orthogonal filter based on a space, respectively.
[Claim 5]
The apparatus according to claim 3, wherein the effective SNR predicting unit comprises: a signal to noise ratio prediction module is configured based on the channel prediction result predicted SNR of each spatial division quadrature filtered signal; merge module configured to split the SNR of each spatial quadrature filtered signal to obtain a combined predicted combined equivalent SNR; and a calculation module configured to calculate, based on the equivalent SNR of the combined active signal to noise ratio.
[Claim 6]
The apparatus according to claim 2, wherein the filter coefficients of each filter are set such that the spatial angle of arrival of the respective filtered signal to the quadrature divider defined within each respective range of different filters.
[Claim 7]
The apparatus according to claim 2, wherein the channel prediction unit using spline interpolation algorithm or third linear extrapolation algorithm for the prediction.
[Claim 8]
The apparatus according to claim 5, wherein the combining module is configured to employ one of the following for the merger merging: maximum ratio combining, equal gain combining, selective combining.
[Claim 9]
The apparatus according to claim 5, wherein said computation module is configured to combine the SNR calculated using the effective SNR mapping algorithm based on the effective SNRs of each frame is equivalent.
[Claim 10]
The apparatus according to claim 9, wherein said computation module is configured to calculate the mutual information using an effective SNR mapping algorithm, wherein the calculation module uses an effective channel order autoregressive model of the cross channel information noise ratio is optimized mapping algorithm parameters.
[Claim 11]
The apparatus according to claim 10, wherein the computing module is configured to create a first-order spatial filter for each orthogonal channel autoregressive model, the respective autoregressive channel models combined equivalent autoregerssive regression channel model, and using the equivalent channel autoregressive model to optimize the parameters, wherein the first-order regression coefficients from the channel model is based on the filter coefficients of the filter of respective quadrature filtering space.
[Claim 12]
The apparatus of claim 11, wherein the first-order regression coefficients from the channel model corresponding to the maximum Doppler signal corresponding to the filtered orthogonal space frequency shift is a first variable zero-order Bessel function representation.
[Claim 13]
The apparatus of claim 12, wherein, when using the maximum ratio combining algorithm, an order from the equivalent channel coefficient regression model is orthogonal to the respective first-order spatial filter from mean regression coefficient of the square of the channel model .
[Claim 14]
The apparatus according to claim 3, wherein the channel quality indicator calculation unit is configured to obtain the channel quality indication table look-up manner based on the effective SNR.
[Claim 15]
The apparatus according to claim 3, further comprising: a transceiving unit, configured to send an indication to the channel device in communication with the device quality.
[Claim 16]
The apparatus according to claim 15, wherein the transceiver unit is further configured to receive information from the device on the transmission period of the channel quality indicator and channel quality indication for each transmission number.
[Claim 17]
The apparatus according to claim 16, further comprising: a measuring unit configured to periodically measure the number-average moving speed Fanggen Bo and said expansion means; and a determination unit configured to determine, based on the average number Fanggen Bo and a value indicating the change of the moving speed of the expansion exceeds a predetermined range, wherein the transceiver unit is further configured to transmit the determination to the instruction value when the device unit judges that the change exceeds the predetermined range, to said apparatus such that said determining means reporting cycle of the channel quality indication based on the instruction value and the number of the channel quality indication for each transmission.
[Claim 18]
The apparatus according to claim 17, wherein the measurement unit is configured to convert each of the divided spatial quadrature filtered signal corresponding to the strongest power signal used as the extension number average Fanggen Bo mean Fanggen Bo extension, or, the use of each of the divided spatial quadrature filtered signal power corresponding orthogonal spatial filter corresponding to the number of extensions extend Fanggen Bo are weighted as a weighted sum of the mean Fanggen Bo.
[Claim 19]
The apparatus according to claim 17, wherein said value indicative of the average value of the square of the number of spreading Fanggen Bo and the moving speed.
[Claim 20]
An optimized parameters effective SNR mapping algorithm means, comprising: a filter group including a plurality of spatial filter filters orthogonal to each other, it is configured for the received signal by a multi-antenna orthogonal airspace dividing filter, respectively, to obtain a plurality of orthogonal spatial division filtered signal; modeling unit is configured to, with the respective filter coefficients of filter coefficients calculated for the respective orthogonal filtering space autoregressive channel model, and each merged autoregressive channel model to obtain the equivalent channel autoregressive model; and generating a radio channel implemented, and implemented using the wireless channel to optimize the production of a radio channel implemented, and the wireless channel used to achieve the optimized parameters.
[Claim 21]
An apparatus for receiving a wireless communication terminal, comprising: a measurement unit configured to periodically measure the average number of extensions and Fang Genbo moving speed of the apparatus; a judging unit, configured to determine, based on the average number Fanggen Bo and a value indicating the change of the moving speed of the expansion exceeds a predetermined range; and a transceiver unit configured to transmit the instruction value determining means determines said variation exceeds the predetermined range to the transmitting end, such that the transmission It means determining the end of cycle number reporting channel quality indicator and channel quality indication for each transmission based on the instruction value.
[Claim 22]
The apparatus of claim 21, further comprising: a filter group including a plurality of spatial filter filters orthogonal to each other, are configured for the received signal by a multi-antenna spatial division quadrature filter, respectively, to obtain a plurality of orthogonal spatial division filtered signal, wherein the measurement unit is configured to expand each of the divided spatial quadrature filtered signal corresponding to the strongest power signal used as the average number average Fanggen Bo Fang Genbo extension number, or the use dividing power for each spatial quadrature filtered signal corresponding to the respective orthogonal spatial filtering Fanggen Bo average number weighted after expansion and extension as the weighted mean Fanggen Bo.
[Claim 23]
The apparatus according to claim 21, wherein the transceiver unit is further configured transmission period information received from the sending end with respect to the channel quality indication and channel quality indication for each transmission number.
[Claim 24]
An apparatus for transmitting side for wireless communication, comprising: a receiving unit configured to average the value based on information indicating the number of extensions and Fang Genbo moving speed received from the receiving terminal; determining unit configured to determine, according to the instruction value the receiving end a channel quality indication reporting period and the number of the channel quality indication for each transmission; and a transmission unit configured to transmit information about the period and the number of the channel quality indication report to the receiving end.
[Claim 25]
The apparatus according to claim 24, wherein the determination unit by comparing said value indicative of a plurality of representative values ​​and the reporting period and select a representative value corresponding to the closest.
[Claim 26]
A wireless communication system comprising apparatus as claimed in claim 24 and apparatus according to claim 25 or according to any of claims 21-23.
[Claim 27]
A method for wireless communication, comprising: receiving a signal by a multi-antenna spatial division, in order to obtain a plurality of spaces divided signals, respectively; and the divided signals on the channel prediction based on the plurality of respective spaces are spaces.
[Claim 28]
A method for optimizing parameters of an algorithm for the effective SNR mapping, comprising: a filter bank each filter using a filter coefficient calculating filter coefficients for the respective orthogonal spaces autoregressive channel model, and each merged autoregressive model to obtain equivalent channel autoregressive channel models, wherein the filter bank comprises a plurality of spatial filter filters orthogonal to each other, and received by multi-antenna signal to the quadrature divider airspace filtering, to obtain a plurality of respective spatial division quadrature filtered signal; and using the equivalent to a first order autoregressive channel models to generate a wireless channel realization, the wireless channel implemented using the optimized parameters.
[Claim 29]
A receiving method for a wireless communication terminal, comprising: periodically measuring the average number of extended Fanggen Bo and the moving speed of the receiving end; Fanggen Bo variation is determined based on the average value indicative of the number of the spread and whether the moving speed exceeds the predetermined range; and determining when said changes exceed the predetermined range at the transmitting end to the indication value, such that the sending end to the receiving end instruction value determines the reporting period and the channel quality indication for each transmission channel in accordance with quality indication of the number.
[Claim 30]
A method for transmitting a wireless communication terminal, comprising: receiving from the receiving end based on the information indicative of the mean value and the moving speed of the expansion Fanggen Bo; instruction value is determined according to the receiving end of the reporting period and the channel quality indication of each channel quality indication of the number of transmission times; and transmitting information indicative of the channel quality reported to the receiving end and the number of cycles.