Claims:STATEMENT OF CLAIMS
We Claim:
1. A method for detecting a Primary Synchronization Signal (PSS) by a User Equipment (UE) in a Long Term Evolution (LTE) system, the method comprising:
extracting an Orthogonal Frequency-Division Multiplexing (OFDM) symbol length vector from a coarse symbol timing estimation;
extracting central 62 frequency coefficients by applying a Fast Fourier Transform (FFT);
obtaining a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of Zadoff-Chu (ZC) sequence; and
computing a maximum correlation coefficient value over a predefined interval.
2. The method of claim 1, wherein the method further comprises:
determining whether the maximum correlation coefficient value is greater than a predefined value; and
obtaining a symbol timing and a cell identification (ID) in response to the maximum correlation coefficient value is greater than the predefined value.
3. The method of claim 2, wherein the method further comprises extracting another OFDM symbol length vector in response to the maximum correlation coefficient value is lesser than the predefined value.
4. The method of claim 2, wherein the method further comprises estimating a channel frequency response at 62 subcarriers.
5. The method of claim 4, wherein the channel frequency response corresponds to the PSS.
6. The method of claim 1, wherein extracting the central 62 frequency coefficients includes extracting coefficients corresponding to central 62 subcarriers using a partial FFT.
7. The method of claim 1, wherein extracting the central 62 frequency coefficients includes computing 62 coefficients for overlapping blocks using a sliding FFT.
8. A User Equipment (UE) for detecting a Primary Synchronization Signal (PSS) in a Long Term Evolution (LTE) system, the UE comprising:
an Orthogonal Frequency-Division Multiplexing (OFDM) symbol length vector extracting unit configured to extract an OFDM symbol length vector from a coarse symbol timing estimation;
a central 62 frequency coefficients extracting unit configured to extract central 62 frequency coefficients by applying a Fast Fourier Transform (FFT);

a correlation coefficient value obtaining unit configured to obtain a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of Zadoff-Chu (ZC) sequence; and
a maximum correlation coefficient value computing unit configured to compute a maximum correlation coefficient value over a predefined interval.
Dated this 6th Day of February, 2017 Signatures:

Arun Kishore Narasani
Patent Agent

, Description:FIELD OF INVENTION
[0001] The embodiments herein relate a communication system, and more specifically to a method and a User Equipment (UE) for detecting a Primary Synchronization Signal (PSS) in a Long Term Evolution (LTE) system.
BACKGROUND OF INVENTION
[0002] The LTE specified by a 3rd Generation Partnership Project (3GPP) is one of evolving standards for a mobile wireless communication. The 3GPP aims to provide a radio-access technology geared to higher data rates, low latency, and greater spectral efficiency. Target peak data rates for a downlink signal and an uplink signal in a LTE system are set at 100 Mbps and 50 Mbps respectively within a 20 MHz bandwidth, corresponding to respective peak spectral efficiencies of 5 and 2.5 bps/Hz. These spectral efficiency targets are designed to be achieved by employing advanced air-interface techniques such as Single-Carrier Frequency Division Multiple Access (SC-FDMA) in the uplink signal, Orthogonal Frequency Division Multiple Access (OFDMA) in the downlink signal, and Multiple-Input Multiple-Output (MIMO) multi-antenna technologies.
[0003] One of the most crucial design issues in the LTE system is an initial cell search and timing synchronization. When a user power ON a User Equipment (UE), the UE has to first synchronize itself with an eNodeB frame timings. Further, the UE has to identify a cell and gather all relevant system information before registering on to the eNodeB. In the LTE system, a LTE downlink physical layer utilizes the OFDMA. Since the OFDM based system is very sensitive to symbol timing errors, it is very important to determine a correct symbol starting position before executing other tasks (such as frequency synchronization, channel estimation, or the like). In order to aid in a process of frame synchronization and identification of the cell, the LTE specifies two synchronization signals: a Primary Synchronization Signal (PSS) and a Secondary Synchronization Signal (SSS). The PSS is one of three Zadoff-Chu (ZC) sequences which are transmitted using central 62 subcarriers twice within a radio frame. The SSS is a binary sequence of +1's and -1's, which is transmitted by the same subcarriers twice within the radio frame. The LTE specifies 504 unique physical layer cell identities. The physical layer cell identities are grouped into 168 unique physical layer cell identity groups, where each group contains three unique identities. The detection of the PSS provides the cell ID within the group, denoted as , and the detection of SSS provides the group ID, denoted as .
[0004] Conventional method provides various design considerations for the synchronization signals in the LTE system. Further, the conventional method performs the cell search procedure in which both the PSS and SSS are detected in the frequency domain using a correlation based technique.
[0005] The above information is presented as background information only to help the reader to understand the present invention. Applicants have made no determination and make no assertion as to whether any of the above might be applicable as Prior Art with regard to the present application.

OBJECT OF INVENTION
[0006] The principal object of the embodiments herein to provide a method and a UE for detecting a PSS in a LTE system.
[0007] Another object of the embodiments herein is to extract an Orthogonal Frequency-Division Multiplexing (OFDM) symbol length vector from a coarse symbol timing estimation.
[0008] Another object of the embodiments herein is to extract central 62 frequency coefficients by applying a Fast Fourier Transform (FFT).
[0009] Another object of the embodiments herein is to obtain a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence.
[0010] Another object of the embodiments herein is to compute a maximum correlation coefficient value over a predefined interval.
[0011] Another object of the embodiments herein is to determine whether the maximum correlation coefficient value is greater than a predefined value.
[0012] Another object of the embodiments herein is to obtain a symbol timing and a cell ID in response to the maximum correlation coefficient value is greater than the predefined value.
[0013] Another object of the embodiments herein is to extract another OFDM symbol length vector in response to the maximum correlation coefficient value is lesser than the predefined value.
[0014] Another object of the embodiments herein is to estimate a channel frequency response at 62 subcarriers.
SUMMARY
[0015] Embodiments herein disclose a method for detecting a PSS by a UE in a LTE system. The method includes extracting an OFDM symbol length vector from a coarse symbol timing estimation. Further, the method includes extracting central 62 frequency coefficients by applying a FFT. Further, the method includes obtaining a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence. Furthermore, the method includes computing a maximum correlation coefficient value over a predefined interval.
[0016] In an embodiment, the method includes determining whether the maximum correlation coefficient value is greater than a predefined value. Further, the method includes obtaining a symbol timing and a cell ID in response to the maximum correlation coefficient value is greater than the predefined value.
[0017] In an embodiment, the method includes extracting another OFDM symbol length vector in response to the maximum correlation coefficient value is lesser than the predefined value.
[0018] In an embodiment, the method includes estimating a channel frequency response at 62 subcarriers.
[0019] In an embodiment, the channel frequency response corresponds to the PSS.
[0020] In an embodiment, the method includes extracting coefficients corresponding to central 62 subcarriers using a partial FFT.
[0021] In an embodiment, the method includes computing 62 coefficients for overlapping blocks using a sliding FFT.
[0022] Embodiments herein disclose a UE for detecting a PSS in a LTE system. The UE includes an OFDM symbol length vector extracting unit configured to extract an OFDM symbol length vector from a coarse symbol timing estimation. A central 62 frequency coefficients extracting unit is configured to extract central 62 frequency coefficients by applying a FFT. A correlation coefficient value obtaining unit is configured to obtain a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence. A maximum correlation coefficient value computing unit is configured to compute a maximum correlation coefficient value over a predefined interval.
[0023] Embodiment herein provides a computer program product including a computer executable program code recorded on a computer readable non-transitory storage medium. The computer executable program code when executed causing the actions including extracting an OFDM symbol length vector from a coarse symbol timing estimation. The computer executable program code when executed causing the actions including extracting central 62 frequency coefficients by applying a FFT. The computer executable program code when executed causing the actions including obtaining a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence. The computer executable program code when executed causing the actions including computing a maximum correlation coefficient value over a predefined interval.
[0024] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
BRIEF DESCRIPTION OF FIGURES
[0025] This invention is illustrated in the accompanying drawings, throughout which like reference letters indicate corresponding parts in the various figures. The embodiments herein will be better understood from the following description with reference to the drawings, in which:
[0026] FIG. 1 illustrates an overview of a LTE system for detecting a PSS by a UE, according to the embodiments as disclosed herein;
[0027] FIG. 2 illustrates an LTE downlink frame structure;
[0028] FIG. 3 illustrates an PSS and a SSS with Type 1 (FDD) frame;
[0029] FIG. 4 is block diagram depicting a time synchronization, according to the embodiments as disclosed herein;
[0030] FIG. 5 illustrates various units of an the UE, according to the embodiments as disclosed herein;
[0031] FIG. 6 is flow diagram illustrating a method for detecting the PSS by the UE, according to the embodiments as disclosed herein; and
[0032] FIG. 7 illustrates a computing environment implementing a mechanism for detecting the PSS in the LTE system, according to embodiments as disclosed herein.

DETAILED DESCRIPTION OF INVENTION
[0033] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. Also, the various embodiments described herein are not necessarily mutually exclusive, as some embodiments can be combined with one or more other embodiments to form new embodiments. The term “or” as used herein, refers to a non-exclusive or, unless otherwise indicated. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein can be practiced and to further enable those skilled in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0034] Embodiments herein disclose a method for detecting a PSS by a UE in a LTE system. The method includes extracting an OFDM symbol length vector from a coarse symbol timing estimation. Further, the method includes extracting central 62 frequency coefficients by applying a FFT. Further, the method includes obtaining a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence. Furthermore, the method includes computing a maximum correlation coefficient value over a predefined interval.
[0035] Unlike the conventional methods, the proposed method utilizes a frequency domain approach instead of a time-domain approach. This results in reducing the processing complexity during the PSS detection. The proposed method is quite robust in identifying the cell ID. The method detects the PSS in an accurate and fast manner.
[0036] Instead of the normal correlation measurement, the proposed method utilizes the correlation coefficient as the similarity measure between the received coefficients and the three ZC sequences. The correlation coefficient has the advantage of providing higher robustness in the presence of multi-paths. Since the three ZC sequences are symmetric, the proposed method utilizes only 31 coefficients for correlation coefficient computation in order to reduce the complexity.
[0037] Referring now to the drawings, and more particularly to FIGS. 1 through 7, there are shown preferred embodiments.
[0038] FIG. 1 illustrates an overview of a LTE system 100 for detecting a PSS by a UE 102, according to the embodiments as disclosed herein. The LTE system 100 includes the UE 102 and a cell 104. The UE 102 may also be referred to as a mobile station, a terminal, an access terminal, a subscriber unit, a station, or the like. The UE 102 can be, for example but not limited to, a cellular phone, a Personal Digital Assistant (PDA), a wireless communication device, a handheld device, a laptop computer, or the like.
[0039] The UE 102 is configured to extract an OFDM symbol length vector from a coarse symbol timing estimation. After extracting the OFDM symbol length vector, the UE 102 is configured to extract central 62 frequency coefficients by applying a FFT.
[0040] In an embodiment, the UE 102 is configured to extract coefficients corresponding to central 62 subcarriers using a partial FFT. In an embodiment, the UE 102 is configured to compute 62 coefficients for overlapping blocks using a sliding FFT.
[0041] After extracting the central 62 frequency coefficients, the UE 102 is further configured to obtain a correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence. Further, the UE 102 is configured to compute a maximum correlation coefficient value over a predefined interval.
[0042] In an embodiment, after computing the maximum correlation coefficient value, the UE 102 is configured to determine whether the maximum correlation coefficient value is greater than a predefined value.
[0043] In an embodiment, if the maximum correlation coefficient value is greater than the predefined value, then the UE 102 is configured to obtain a symbol timing and a cell ID.
[0044] In another embodiment, if the maximum correlation coefficient value is lesser than the predefined value, then the UE 102 is configured to extract another OFDM symbol length vector
[0045] Based on the symbol timing and the cell ID, the UE 102 is configured to estimate a channel frequency response at 62 subcarriers. In an embodiment, the channel frequency response corresponds to the PSS.
[0046] LTE Downlink Frame Structure: The LTE system 100 specifies two types of radio frame structures: Type 1 (also called Frequency Division Duplex (FDD)) and Type 2 (also called Time Division Duplex (TDD)). Both structures are specified over the radio frame timing of 10 msec. Each radio frame consists of 20 slots numbered from 0 to 19, and one slot duration is 0.5 msec. Alternatively, the radio frame consists of 10 subframes, where each subframe spanning two slots or 1 msec. Each slot consists of 7 OFDM symbols or 6 OFDM symbols depending on whether the cyclic prefix is of type normal or extended, respectively.
[0047] In the frequency domain, the signal in each slot is described by a resource grid of subcarriers. 12 subcarriers make a Resource Block (RB). The subcarriers have a spacing of 15 KHz, thus each RB spans 180 KHz in the frequency domain. The RBs consist of resource elements. Each resource element corresponding to one subcarrier in the frequency domain and one OFDM symbol in the time domain. The LTE radio frame structure in time and frequency domains are shown in the FIG. 2.
[0048] LTE Synchronization Signals:
[0049] PSS: The PSS sequence in the LTE downlink signal is one of three ZC sequences. Each ZC corresponds to one of three physical layer cell IDs in a group. The PSS is sent over the central 6 RBs. Out of the 72 subcarriers only the central 62 subcarriers are used. The remaining 10 subcarriers are kept reserved. The PSS is sent every 5 milliseconds, twice in the radio frame. In case of the FDD, the PSS is sent in the last OFDM symbol of every 1st and 11th slot of the frame (referring to the FIG. 3). In case of the TDD, the PSS is sent in the 3rd symbol of every 3rd and 13th slot of the frame. The generation and mapping of the Zadoff-Chu sequence to the resource elements are specified in sections 6.11.1.1 and 6.11.1.2 of the standard. The PSS sequence is given by
where denotes the root index. The physical cell ID within the group is denoted by . The root index is equal to 25, 29, and 34 corresponding to values 0, 1, and 2 respectively.
[0050] SSS: The SSS is also sent over the central 6 RBs. Like the PSS, only 62 subcarriers are used, the remaining 10 subcarriers are kept reserved. In case of the FDD, the SSS is sent in the symbol immediately preceding the symbol carrying PSS. In case of the TDD, the SSS is sent 3 symbols earlier than the PSS symbol. Unlike the PSS, the SSS is a binary sequence which is an interleaving of two length-31 binary sequences. The sequence is scrambled with another sequence which is generated using . The generation of the SSS and mapping to the resource elements are specified in section 6.11.2.1 and 6.11.2.2 of the standard.
[0051] The proposed time synchronization method consists of two steps: (1) Coarse symbol time estimation, and (2) Fine timing estimation. The time synchronization overview is illustrated in the FIG. 4.
[0052] Coarse symbol time estimation: The symbol boundaries are estimated using the CP structure of the LTE downlink radio frame. The received data is shifted by 2048 samples (OFDM symbol length) and is multiplied with the original data element-wise after being complex-conjugated. Then a Mean Squared Error (MSE) metric is calculated over a sliding window of 144 samples (normal CP length for all symbols except the 1st symbol in case of the FDD). The minimum value of the MSE metric over each non-overlapping segment of 2048 samples is assumed to be the starting sample of the Cyclic Prefix (CP) preceding the symbol.
[0053] In an embodiment, the coarse symbol time estimation is performed using a Minimum Mean Square Error (MMSE) approach.
[0054] Fine time estimation: The fine timing estimation starts with the detection of the PSS. This provides the cell ID within the group ( ) and 5 milliseconds timing synchronization. This is followed by the channel estimation at the subcarriers carrying the PSS and then the detection of SSS after channel equalization. This provides the group ID of the cell ( ) and, thus the unique cell ID ( ), frame synchronization, and the CP type (normal or extended).
[0055] In an embodiment, the proposed method is followed by the extraction and decoding of Physical Broadcast Channel (PBCH). The PBCH channel contains all cell specific system information such as the cell ID, CP, frame type, bandwidth, etc. The detected cell ID can be confirmed during the PBCH decoding process.
[0056] In an embodiment, the PSS detection method uses the correlation coefficient between the half-length Zadoff-Chu sequences and the received coefficients corresponding to 31 lowest frequencies. The correlation coefficient has the advantage of being robust in the presence of multipaths. The LTE system 100 utilizes the frequency domain approach instead of the time-domain approach. This results in reducing the processing complexity during the PSS detection.
[0057] The FIG. 1 shows the limited overview of the system 100 but, it is to be understood that other embodiments are not limited thereto. Further, the system 100 can include any number of hardware or software components communicating with each other. For example, the component can be, but not limited to, a process running in the controller or processor, an object, an executable process, a thread of execution, a program, or a computer.
[0058] FIG. 5 illustrates various units of the UE 102, according to the embodiments as disclosed herein. The UE 102 includes a communication interface unit 502, an OFDM symbol length vector extracting unit 504, a central 62 frequency coefficients extracting unit 506, a correlation coefficient value obtaining unit 508, a maximum correlation coefficient value computing unit 510, a determining unit 512, a symbol timing and cell ID obtaining unit 514, and a channel frequency response estimating unit 516.
[0059] The communication interface unit 502 receives the OFDM symbol from the eNodeB. After receiving the OFDM symbol, the OFDM symbol length vector extracting unit 504 is configured to extract the OFDM symbol length vector from the coarse symbol timing estimation. After extracting the OFDM symbol length vector, the central 62 frequency coefficients extracting unit 506 is configured to extract central 62 frequency coefficients by applying the FFT.
[0060] In an embodiment, the central 62 frequency coefficients extracting unit 506 is configured to extract coefficients corresponding to central 62 subcarriers using the partial FFT. In an embodiment, the central 62 frequency coefficients extracting unit 506 is configured to compute 62 coefficients for overlapping blocks using the sliding FFT.
[0061] After extracting the central 62 frequency coefficients, the correlation coefficient value obtaining unit 508 is configured to obtain the correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence. Further, the maximum correlation coefficient value computing unit 510 is configured to compute the maximum correlation coefficient value over the predefined interval.
[0062] In an embodiment, after computing the maximum correlation coefficient value, the determining unit 512 is configured to determine whether the maximum correlation coefficient value is greater than the predefined value.
[0063] In an embodiment, based on the maximum correlation coefficient value is greater than the predefined value, the symbol timing and cell ID obtaining unit 514 is configured to obtain the symbol timing and the cell ID.
[0064] In another embodiment, based on the maximum correlation coefficient value is lesser than the predefined value, the OFDM symbol length vector extracting unit 504 is configured to extract another OFDM symbol length vector.
[0065] Based on the symbol timing and the cell ID, the channel frequency response estimating unit 516 is configured to estimate the channel frequency response at 62 subcarriers. In an embodiment, the channel frequency response corresponds to the PSS.
[0066] Although FIG. 5 shows exemplary units of the UE 102, in other implementations, the UE 102 may include fewer components, different components, differently arranged components, or additional components than depicted in the FIG. 5. Additionally or alternatively, one or more components of the UE 102 may perform functions described as being performed by one or more other components of the UE 102.
[0067] FIG. 6 is flow diagram 600 illustrating a method for detecting the PSS by the UE 102, according to the embodiments as disclosed herein. The PSS is detected in the frequency domain. At step 602, the method includes extracting the OFDM symbol length vector from the coarse symbol timing estimation. In an embodiment, the method allows the OFDM symbol length vector extracting unit 504 to extract the OFDM symbol length vector starting within 10 samples from the coarse symbol timing estimation.

[0068] At step 604, the method includes extracting the central 62 frequency coefficients by applying the FFT.
[0069] In an embodiment, for the block of 2048 samples starting at a threshold distance from the coarse symbol time estimation, the method first computes the partial FFT to extract the coefficients corresponding to central 62 subcarriers. Further, the method then computes the correlation coefficient between the 31 lowest frequency coefficients and the corresponding 31 coefficients of each ZC sequence. Further, the method shifts the block position by one sample and then repeat the above operations to compute the correlation coefficient. However, instead of computing the partial FFT, the proposed method computes the sliding FFT to extract the central 62 coefficients. This results in reducing the complexity of the operation. Further, the proposed method computing the correlation coefficient until the method reaches the end of the threshold interval.
[0070] At step 606, the method includes obtaining the correlation coefficient value between 31 lowest frequency coefficients and corresponding 31 coefficients of ZC sequence. In an embodiment, the method allows the correlation coefficient value obtaining unit 508 to find the correlation coefficient between the 31 lowest frequency coefficients and the corresponding 31 coefficients of each ZC sequence.
[0071] Let denote the discrete Fourier transform of The 31 lowest frequency coefficients are denoted by


where ‘h’ denotes complex conjugate transpose and denotes the Zadoff-Chu sequence with root-index (The first 31 coefficients of the ZC are mapped to the 31 highest frequency coefficients).
[0072] At step 608, the method includes computing the maximum correlation coefficient value over the predefined interval. In an embodiment, the method allows the maximum correlation coefficient value computing unit 510 to compute the maximum correlation coefficient value over the predefined interval.
[0073] At step 610, the method includes determining whether the maximum correlation coefficient value is greater than the predefined value. In an embodiment, the method allows the determining unit 512 to determine whether the maximum correlation coefficient value is greater than the predefined value.
[0074] If the maximum correlation coefficient value is greater than the predefined value, at step 612, the method includes obtaining the symbol timing and the cell ID. In an embodiment, the method allows the symbol timing and cell ID obtaining unit 514 to obtain the symbol timing and the cell ID.
[0075] If the maximum correlation coefficient value is less than the predefined value, the method goes to step 602 (i.e., the method includes extracting another OFDM symbol length vector).

where denotes the starting sample index of the PSS symbol.
[0076] At step 614, the method includes estimating the channel frequency response at 62 subcarriers. In an embodiment, the method allows the channel frequency response estimating unit 516 to estimate the channel frequency response at the 62 subcarriers.

[0077] The proposed method can be implemented in multi-cells environment.
[0078] The various actions, acts, blocks, steps, and the like in the flow diagram 600 may be performed in the order presented, in a different order or simultaneously. Further, in some embodiments, some actions, acts, blocks, steps, and the like may be omitted, added, modified, skipped, and the like without departing from the scope of the invention.
[0079] The proposed method is implemented in the LTE downlink physical layer at the receiver side at 20 MHz bandwidth. The transmitted radio frame was of Type 1 (FDD) at normal CP. The total number of RBs and subcarriers are 100 and 1200 respectively. The IFFT size is 2048, thus the sampling period is 1/(15x2048) msec, (i.e., 32.55 microsec), and there are 2048 samples per OFDM symbol. The proposed method simulates the channel with different additive white Gaussian noise levels (SNR=10 dB, 20 dB, and 30 dB) and with different number of multipaths (1 to 5). The multipath channel is simulated using a defined channel model. For each number of multi-paths, the method simulates 100 channels at each SNR. At each instance, the method selects the transmitting cell ID randomly within 0 and 503. The proposed method considers a transmitting antenna. Since the PSS and SSS are transmitted from the same antenna ports, we expect similar performances in the case of 2 or 4 transmitting antennas as well.
[0080] FIG. 7 illustrates a computing environment 702 implementing a mechanism for detecting the PSS in the LTE system 100, according to embodiments as disclosed herein. The computing environment 702 comprises at least one processing unit 708 that is equipped with a control unit 704, an Arithmetic Logic Unit (ALU) 706, a memory 710, a storage unit 712, a plurality of networking devices 716 and a plurality Input / Output (I/O) devices 714. The processing unit 708 is responsible for processing the instructions of the technique. The processing unit 708 receives commands from the control unit 704 in order to perform its processing. Further, any logical and arithmetic operations involved in the execution of the instructions are computed with the help of the ALU 706.
[0081] The overall computing environment 702 can be composed of multiple homogeneous or heterogeneous cores, multiple CPUs of different kinds, special media and other accelerators. The processing unit 708 is responsible for processing the instructions of the technique. Further, the plurality of processing units 704 may be located on a single chip or over multiple chips.
[0082] The technique comprising of instructions and codes required for the implementation are stored in either the memory unit 710 or the storage 712 or both. At the time of execution, the instructions may be fetched from the corresponding memory 710 or storage 712, and executed by the processing unit 708.
[0083] In case of any hardware implementations various networking devices 716 or external I/O devices 714 may be connected to the computing environment 702 to support the implementation through the networking unit and the I/O device unit.
[0084] The embodiments disclosed herein can be implemented through at least one software program running on at least one hardware device and performing network management functions to control the elements. The elements shown in the FIGS. 1 through 7 include blocks which can be at least one of a hardware device, or a combination of hardware device and software module.
[0085] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.