FORM 2
THE PATENTS ACT, 1970
(39 OF 1970)
AND
THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
“METHOD AND SYSTEM OF CELL SEARCH IN NARROW BAND (NB)
LTE”
We, Reliance Jio Infocomm Limited, an Indian National of, 101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad-380006, Gujarat, India.
The following specification particularly describes the invention and the manner in which it is to be performed.

FIELD OF INVENTION
The present invention relates to wireless network and user equipment, and more particularly, to optimal cell search in Narrow-Band LTE.
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.
The Internet of Things (IoT) is a network of devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity which can be readable, recognizable, locatable, addressable, and controllable via an IoT communications network that enables these things to connect and exchange data, creating opportunities for more direct integration of the physical world into computer-based systems, resulting in efficiency improvements, economic benefits, and reduced human exertions. The “Internet of things” (IoT) concept getting more and more popular, devices such as sensors, actuators and everyday objects including the coffee makers, washing machines, headphones, lamps and wearable devices, etc. are being increasingly looked upon as potential IoT devices. IoT involves extending internet connectivity beyond standard devices, such as desktops, laptops, smartphones and tablets, to any range of traditionally dumb or non-internet-enabled physical devices and everyday objects. Embedded with technology, these devices can communicate and interact over the Internet, and they can be remotely monitored and controlled. The term "Enterprise IoT" refers to devices used in business and corporate settings in a network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment. Here, IoT refers to Internet-connected physical devices, in many cases everyday objects (things), that can communicate their status, respond to events, or even act autonomously. This enables communication among those things, closing the gap between the real and the virtual world and creating smarter processes and structures that can support us without needing our attention. IoT

has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS), and the Internet. An IoT device is generally provisioned with an IP address to provide it with the capability of transferring data and receive control signals over an IP network using the standard Internet protocols such as TCP/IP which is being exclusively used on the Internet.
Recently, 3GPP has introduced a new technology NB- LTE in release 13. The low-end IoT applications can be met with this technology. This technology has better performance than the Low Power Wide Area (LPWA). It has taken efforts to address IoT markets with completion of standardization on NB- LTE. The NB- LTE technology has been implemented in licensed bands. The licensed bands of LTE are used for exploiting this technology. This technology makes use of a minimum system bandwidth of 180 kHz i.e. one PRB (Physical Resource Block) is allocated for this technology. The NB-ILTE can be seen as a separate RAT (Radio Access Technology). The NB- LTE can be deployed in 3 modes: “in-band”, “guard band” and “standalone”. In the “in-band” operation, resource blocks present within LTE carrier is used. The inner resource blocks are not used as they are allotted for synchronization of LTE signals. In “guard band” operation, resource blocks between LTE carriers that are not utilized by any operator, are used. In “standalone” operation, GSM frequencies are used or possibly unused LTE bands are used. Release 13 contains important refinements like discontinuous reception (eDRX) and power save mode. The PSM (Power Save Mode) ensures battery longevity in release 12 and is completed by eDRX for devices that need to receive data more frequently.
The NB- LTE technology focuses on devices like meter reading of water and electricity consumption that are stationery. Some of the use cases are: facility management services, fire alarms for home and commercial properties, tracking of persons and objects. The industries where NB-IoT services can add value are: Smart city, smart home, Safety and security, agriculture, health care and Energy.
Another example for IoT industry includes logistic tracking. The tracking devices on shipping containers send huge volumes of sensor data that are collected and taken for analysis in order to make sure that real-time tracking of shipment locations can be made

possible. The output display units are used for receiving alerts and optimized with service recommendations.
The NB-LTE technology addresses some of the key IoT requirements.
• Battery lifetime of the devices increases.
• Improved network coverage.
• Cost of the devices is reduced.
• Multiplexing of devices met for capacity requirements.
• Support a massive number of devices.
The NB- LTE technology support low power consumption, use of low-cost devices and provides excellent coverage.
In a NB- LTE deployment, the NB- LTE cells have a 20db gain over other categories like CAT 4/3/1 cells. As such, the NB-LTE Carrier can support much larger areas when compared to a CAT 4/3/1 base station or channel. Typically, in NB-LTE scenario, the same base station provides the NB-IoT channels for a device. The same or a different base station can provide a channel for a CAT-1 or a CAT 3/4 operation due to the difference in the NB-LTE and other category cell coverage areas.
As huge number of IoT devices are connected and as businesses use applications to parse IoT data, optimal search of NB- LTE becomes a real concern. When it comes to IoT ecosystem development, optimal search for cell bands could be the weak link in the chain as latency stifles progress.
In the current space, as the user equipment has the capability to support CAT-NB and the NB LTE cell can be configured in one of the 3 modes i.e. In band, Guard band or Stand alone, but due to bandwidth restriction of NB technology, the raster scan is used for scanning is 100kHz. But as the number of NB- LTE device is increasing so is the raster scanning, for example, 20MHz LTE cell bandwidth, there are 200 candidate scan to be performed. Each candidate scan takes few milliseconds. The NB- LTE scan should detect cells at lower SNR of -10dB to support NB-LTE Maximum Coupling Loss (MCL) of 164dB.

The scanning of all supported NB-LTE bands and EARFCNs makes scan duration in the order of minutes with the current scan technology. As more number of bands is to be scanned, it increases the complexity and also increases band scan duration as well.
A number of solutions are provided time to time to deal with the problem associated with cell searching, for instance, one prior art solution provides initial cell scanning based on context information. The prior art solution provides a method of collection, at a first location, the context information associated with a potential location where the user equipment is to roam from the first location to the potential location in CAT 1/2/3 RATs. Based on this context information a prediction of the potential location of the user equipment is made. After the prediction of user location, a first set of one or more candidate frequency bands relating to the potential location are determined; and an initial cell scan is performed at the potential location, based on the set of one or more candidate frequency bands in CAT 1/2/3 to search for a frequency band that is supported by the user equipment in CAT 1/2/3, in response that the user equipment roams to the potential location. However, the said prior art solution does not provide any solution to the user equipment (UE) for NB LTE cell scan in an efficient manner. The limitation of said prior art solution is that scanning is performed only in the existing RATs CAT 1/2/3 and not in CAT NB and hence new solution needs to be developed for decreasing the time of the scan for CAT NB.
Further another existing art provides band selection methods and related devices in a mobile communication system. The solution provides a method of calculation of a suggested value of band selection to match a current environmental state of a mobile communication system in CAT 1/2/3 RATs; changing a setting of band selection according to the suggested value of band selection and camping on a cell according to the setting of the band selection. However, the said prior art solution does not provide any solution to the user equipment (UE) for NB LTE cell scan in an efficient manner. The limitation of said prior art solution is that scanning is performed only in the existing RATs CAT 1/2/3 and not in CAT NB and hence new solution needs to be developed for decreasing the time of the scan for CAT NB.

Also, one more existing art provides a solution disclosing mobile device with improved network scanning. The disclosure provides method for wireless devices to perform a multi-RAT band scan. In said solution, the UE (user equipment) may store information regarding results of prior cellular scan operations for a first cell, wherein the prior cellular scan operations identifies frequencies of available cellular base stations in CAT 1/2/3 RATs. Additionally, while camped in the first cell the UE may perform a new cellular scan operation based at least in part on the information regarding results of prior cellular scan operations in CAT 1/2/3 RATs. The prior art solution does not provide any solution to the user equipment (UE) for NB LTE cell scan in an efficient manner. The limitation of said prior art solution is that scanning is performed only in the existing RATs CAT 1/2/3 and not in CAT NB and hence new solution needs to be developed for decreasing the time of the scan.
Therefore, neither the current arts, nor the current 3GPP specification release, specifies new techniques to overcome the above problem for optimal scan for cell search in NB-LTE. The specification does not define any solution on how the UE will scan optimally to select the cell of NB LTE in less time. There is primarily a challenge of scanning in less time, as the NB- LTE channel scan and selection help to provide an efficient way of connectivity to the devices that have to be managed efficiently to handle the high traffic of the IoT. Also as the numbers grow for the IoT devices in the future, there needs to be an efficient architecture to scan optimally the NB-LTE cell, to save power of the battery and to provide improved coverage.
Another existing problem in the current system is that location cells do not have NB neighbour cell information and hence need to perform the full band scan for camping on NB LTE cell which takes around a long time of approximately 2 to 3 minutes. Furthermore, the existing prior art solutions provide cell searching based on available bands comprising few 100’s of EARFCNs, which also results into a longer time to detect a cell.
Therefore, there is a need in the art, for a system and method to support efficient cell search in narrow band LTE, to provide efficient way of connectivity to NB-IoT devices.

SUMMARY
This section is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
In order to overcome at least a few problems associated with the known solutions as provided in the previous section, an object of the present disclosure is to provide a method and system of cell search in narrow band Long Term Evolution (NB- LTE). It is another object of the invention to provide a system and method that can support scanning in less time as the NB-LTE channel scan and selection helps to provide an efficient way of connectivity to devices that have to be managed efficiently to handle the high traffic. It is also an object of the invention to address the issue of connectivity of NB LTE -IoT devices. It is yet another object of the invention to enable connectivity in the NB-IoT system. Yet another object of the present invention is to save the power by reducing huge battery impact caused due to increased scan time of NB- LTE channelscells. One more object of the present invention is to prevent signalling drop in the network due to no connectivity to NB- LTE channels/cells during the longer scan period.
In order to achieve the aforementioned objectives, the present disclosure provides a method and system of cell search in Narrow band – LTE (NB-LTE ) devices in narrow band LTE network.
One aspect of the present invention relates to a method of cell search in Narrow band LTE. The method comprises maintaining at the NB LTE-IoT device, a look-up table, wherein said look-up table comprises entries of NB eNodeB location co-ordinates, a circle information and a list of EARFCNs corresponding to each of said location co¬ordinates. Thereafter, the method encompasses detecting, by the NB LTE -IoT device, a current location co-ordinates and then mapping, via said the NB LTE -IoT device, said detected current location co-ordinates to at least one nearby NB eNodeB location. Thereafter the method encompasses sorting, at the NB LTE -IoT device, said look-up

table based on at least one location co-ordinate. The method then comprises performing at the NB LTE -IoT device, a search in the look-up table to identify at least one NB LTE cell, wherein said search is based on the list of EARFCNs corresponding to said current location coordinates.
Another aspect of the present disclosure encompasses a system of cell search in Narrow band LTE. The said system comprises a memory configured to maintain at the NB LTE -IoT device, a look-up table, wherein said look-up table comprises entries of NB eNodeB location co-ordinates, a circle informationand a list of EARFCNs corresponding to each of said location co-ordinates. The system further comprises a processing unit coupled to the memory, said processing unit configured to detect a current location co-ordinates and to map said detected current location co-ordinates to at least one nearby NB eNodeB location. Further, the processing unit is also configured to sort said look-up table based on at least one location co-ordinate. Also, the processing unit is further configured to perform a search in the look-up table to identify at least one NB LTE cell, wherein said search is based on the list of EARFCNs corresponding to said current location coordinates.
BRIEF DESCRIPTION OF DRAWINGS:
The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components, electronic components or circuitry commonly used to implement such components.
FIG.1 illustrates a block diagram of NB LTE -IoT Device [100], in accordance with exemplary embodiments of the present disclosure.

FIG. 2 illustrates an exemplary method flow diagram [200] depicting a method for cell
search in Narrow Band LTE, in accordance with exemplary embodiments of the present
disclosure.
FIG. 3 illustrates an exemplary implementation [300], depicting a process of cell search
in Narrow Band LTE, in accordance with exemplary embodiments of the present
disclosure.
The foregoing shall be more apparent from the following more detailed description of the disclosure.
DESCRIPTION OF THE INVENTION
In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein.
The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the invention as set forth.
Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown

as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the embodiments.
Also, it is noted that individual embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed, but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.
Furthermore, embodiments may be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in software, firmware, middleware or microcode, the program code or code segments to perform the necessary tasks (e.g., a computer-program product) may be stored in a machine-readable medium. A processor(s) may perform the necessary tasks.
Systems depicted in some of the figures may be provided in various configurations. In some embodiments, the systems may be configured as a distributed system where one or more components of the system are distributed across one or more networks in a cloud computing system.
As used herein, the “NB LTE -IoT device” or “IoT device” or "NB LTE -IoT Device“, refers to any electrical, electronic, electromechanical and computing device. The NB LTE -IoT device is capable of receiving and/or transmitting one or parameters, performing function/s, communicating with other NB LTE -IoT devices as well as non NB LTE -IoT devices and transmitting data to these devices. The NB LTE -IoT device may have a

processor, a display, a memory, a battery and an input means such as a hard keypad and/or a soft keypad. The at least one NB LTE -IoT device may include, but is not limited to, a thermostat, an electric switch, a washing machine, a computing device, a coffee maker, a refrigerator, a headphone, a lamp, a room sensor, a microwave, a fan, a light and any such device that is obvious to a person skilled in the art. NB LTE -IoT devices may be capable of operating on any radio access technology including but not limited to IP-enabled communication, Zig Bee, Bluetooth, Bluetooth Low Energy, Near Field Communication, Z-Wave, etc.
As used herein, a “processor” or “processing unit” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special-purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The processor may perform signal coding data processing, input/output processing, and/or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.
As used herein, “memory unit” and/or “memory” refers to a machine or computer-readable medium including any mechanism for storing information in a form readable by a computer or similar machine. For example, a computer-readable medium includes read-only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices or other types of machine-accessible storage media.
Referring to FIG. 1, that illustrates an exemplary block diagram of NB LTE -IoT device [100], in accordance with exemplary embodiments of the present disclosure. As shown in Fig. 1, the NB LTE -IoT device [100] comprises at least one NB LTE Radio Interface [110], at least one antenna [112], at least one IoT application module [102], at least one

memory [106], at least one on-boarding client module [108] and at least one processing unit [104], said components being connected to each other.
The NB LTE Radio Interface [110] of the said NB-IoT device [100] is coupled to said antenna [112], IoT application module [102], on-boarding client module [108] and processing unit [104]. The NB LTE Radio Interface [110] along with the said antenna [112] is configured to enable Wi-Fi communication over an NB LTE network. The NB LTE Radio Interface [110] further along with said antenna [112] provides wireless access to the NB LTE devices according to the 3GPP NB- LTE protocols.
The memory [106] is coupled to said IoT application module [102], on-boarding client module [108] and processing unit [104]. The memory [106] is configured to store data from the different modules of NB-IoT Device [100], in order to assist the said modules to carry out different functions.. Furthermore, the said memory [106] is also configured to maintain at the NB LTE -IoT device, a look-up table, wherein said look-up table comprises entries of NB eNodeB location co-ordinates, a circle information, and a list of EARFCNs corresponding to each of said location co-ordinates.
For instance, the look-up table for NB- eNodeB co-ordinates, circle location, supported band, type of NB LTE band and list of EARFCNs configured in the NB LTE -IoT device location is provided in the Table 1 below and is used to scan and connect to the CAT - NB with the NB LTE -IoT device.

NB eNodeB co-ordinates (Lat, Long) Circle/Location Supported band in that location List of EARFCNs configured in that location
(Lat1,Long1) Circle1 1800 MHz F1,F4
(Lat2,Long2) Circle2 850 MHz F3,F8,F9
(Lat3,Long3) Circle3 850 MHz F2,F6,F5
Table 1

The look-up table is maintained on the basis of entries received from the SIM (Subscriber Identity Module) Applet, wherein the said entries may include but not limited to NB eNodeB location co-ordinates (Latitude, Longitude), Circle information, and a list of EARFCNs configured corresponding to said NB eNodeB location coordinates.
The memory unit [106] is also configured to maintain a list of NB LTE supported frequencies and NB LTE -PRB indices obtained during periodic scanning of NB LTE cell search. For instance, the following list of NB LTE supported frequencies and NB-LTE PRB indices may be stored in the memory unit [106].

EARFCN PRB Indices
EARFCN-1

EARFCN-2

EARFCN-3

The IoT application module [102] is coupled to said NB- LTE Radio Interface [110], memory [106], on-boarding client module [108] and processing unit [104]. The IoT application module [102] may be configured to implement IoT functionality in combination with multiple hardware and software components. The said IoT application module [102] is further configured to communicate over the desired IP path via said NB-LTE Radio Interface [110].
The on-boarding client module [108] is coupled to said NB- LTE Radio Interface [110], memory [106], IoT application module [102] and processing unit [104]. The on-boarding client module [108] may be configured to communicate to an on-boarding server via the NB LTE Radio Interface [110] while being in charge of device-specific on-boarding function.
Further, the processing unit [104] of NB-LTE IoT Device is coupled to said, IoT Application module [102], NB- LTE Radio Interface [110], the memory [106], and the on-boarding client module [108]. The processing unit [104] is configured to execute the functions of all modules present in the NB LTE -IoT Device. Further, the processing unit [104], is configured to detect a current location co-ordinates of NB- LTE IoT device, wherein the said current location co-ordinates further comprises at least one Latitude and/or Longitude co-ordinates. The processing unit [104] detects said current location co-ordinates on the basis of at least one of a GPS, a Wi-Fi mechanism, a iZat mechanism and a BLE mechanism. In an instance said current location coordinates of the NB LTE -IoT device may be detected by a known method including but not limited to iZat server mechanism, which identifies the location co-ordinates of said NB LTE -IoT device on the basis of Wi-Fi access point on which said NB LTE -IoT device is latching on. Also, in one other instance the current location coordinates of the NB LTE -IoT device may be detected by one of GPS, Wi-Fi and BLE mechanisms.
The processing unit [104] is also configured to map said detected current location co-ordinates to at least one nearby NB eNodeB location. In an instance said mapping of current location co-ordinates to nearest eNodeB location among the list of circle/eNodeB locations (in the lookup table) may be done with best possible existing

mechanism as per any standard search algorithms, for example, Binary Search followed by standard algorithm/formula for distance between two points and scans only the EARFCN or EARFCN list corresponding to the NB eNodeB location.
The processing unit [104] is further configured to sort said look-up table based on at least one location co-ordinate. For instance, the processing unit [104] may sort the look-up table using Latitude and Longitude co-ordinates. The processing unit [104] is also configured to perform an optimized search in the look-up table to identify at least one NB LTE cell, wherein said optimized search is based on the list of EARFCNs corresponding to said current location coordinates. The said optimized search in the look-up table is further based on a negative event of a search performed by said processing unit [104] on said list of NB LTE supported frequencies and said NB LTE -PRB indices stored by the memory [106].
Also, the processing unit [104] is further configured to camp the NB LTE -IoT device, on the identified at least one NB LTE cell. Once the NB LTE -IoT device camps on the identified NB LTE cell, the searching/scanning is not proceeded for remaining bands/PRB indices for best NB LTE cell. The processing unit [104] is also further configured to perform reselection of NB LTE cell to move to the better cell.
Furthermore, the processing unit [104] is also configured to perform a search on the list of NB LTE supported frequencies and said NB LTE -PRB indices stored by the memory [106], wherein said search results in one of a positive event and a negative event. Further, the positive event is the event where at least one NB LTE cell is identified during said search on the list of NB LTE supported stored frequencies and said NB LTE -PRB indices. Also, the negative event is the event where no NB LTE cell is identified during said search on the list of NB LTE supported stored frequencies.
Therefore the NB LTE -IoT device [100], in accordance with exemplary embodiments of the present disclosure identifies NB LTE cell faster than the full band scan duration.

Referring to FIG. 2, the present invention illustrates an exemplary method flow diagram [200] depicting a method for cell search in Narrow Band LTE, in accordance with exemplary embodiments of the present disclosure. The method begins at step [204].
.
The method at step [206] comprises, maintaining at the NB LTE -IoT device, a look-up table, wherein said look-up table comprises entries of NB eNodeB location co-ordinates, a circle information and a list of EARFCNs corresponding to each of said location co¬ordinates. The look-up table is maintained on the basis of pre-stored entries received from the SIM (Subscriber Identity Module) Applet, wherein the said entries may include but not limited to NB eNodeB location co-ordinates (Latitude, Longitude), Circle informationand a list of EARFCNs configured corresponding to said NB eNodeB location coordinates.
Next, at step [208], the method comprises detecting, by the NB LTE -IoT device, a current location co-ordinates. The said location co-ordinates may be at least one of a longitude or latitude co-ordinates. Further said detecting of the current location coordinates is based on at least one of a GPS, a Wi-Fi mechanism, a iZat mechanism and a BLE mechanism. In an instance the said current location coordinates of the NB LTE -IoT device may be detected by iZat server mechanism, which identifies the location co¬ordinates of said NB LTE -IoT device on the basis of Wi-Fi access point on which said NB LTE -IoT device is latching on. Also, in one other instance the current location coordinates of the NB LTE -IoT device may be detected by one of GPS, Wi-Fi and BLE mechanisms.
Thereafter, the method at step [210] encompasses mapping, via said the NB LTE -IoT device, said detected current location co-ordinates to at least one nearby NB eNodeB location. In an instance said mapping of current location co-ordinates to nearest eNodeB location among the list of circle/eNodeB locations (in the look up table) may be done with best possible existing mechanism as per any standard search algorithms, for example, Binary Search followed by standard algorithm/formula for distance between

two points and scans only the EARFCN or EARFCN list corresponding to the NB eNodeB location.
The method then leads to step [212], at step [212] the method comprises sorting, at the NB LTE -IoT device, said look-up table based on at least one location co-ordinate. For instance, the look-up table is sorted in a particular order using Latitude and/or Longitude co-ordinates. For example, the look-up table for NB- eNodeB co-ordinates, circle location, supported band, type of NB LTE band and list of EARFCNs configured in the NB LTE -IoT device location is provided in the Table 2 below.

NB eNodeB co- Circle/Location Supported band in List of EARFCNs configured ordinates (Lat, Long) that location in that location
(Lat5,Long5) Circle5 1200 MHz F8,F2
(Lat7,Long7) Circle7 810 MHz F9,F1,F4
(Lat6,Long6) Circle6 810 MHz F3,F6,F7
Table 2
This look-up table i.e. table 2 of the above example, is sorted on the basis of location co¬ordinates and the exemplary sorted table 2 is further shown below as Table 3:

NB eNodeB co-ordinates (Lat,Long) Circle/Location Supported band in that location List of EARFCNs configured in that location
(Lat5,Long5) Circle5 1200 MHz F8,F2
(Lat6,Long6) Circle6 810 MHz F3,F6,F7
(Lat7,Long7) Circle7 810 MHz F9,F1,F4
Table 3
The method thereafter at step [214] encompasses performing at the NB LTE -IoT device, an optimized search in the look-up table to identify at least one NB LTE cell, wherein said

optimized search is based on the list of EARFCNs corresponding to said current location coordinates. The said optimized search in the look-up table is further based on a negative event of a search performed on a list of NB supported stored frequencies and said NB LTE -PRB indices.
Further the method comprises camping, by the NB LTE -IoT device, on the at least one NB LTE cell identified by said optimized search in the look-up table. Once the NB LTE -IoT device camps on the identified NB LTE cell, the searching/scanning is not proceeded further for remaining bands/PRB indices for best NB LTE cell. The method also encompasses reselection of the NB LTE cell to move to a better cell.
Referring to FIG.3, an exemplary implementation [300] of a process for cell search in Narrow Band LTE, in accordance with exemplary embodiments of the present disclosure is shown.
The said process at step [302] encompasses powering on an NB LTE -IoT Device or starting an out of service (OOS) recovery scan. In one instance the out of service recovery by NB- LTE IoT Device may be performed by a Flight mode ON/OFF process.
Next, at step [304] the process comprises determining the presence of a stored list, wherein said stored list is maintained by the NB LTE -IoT Device and comprises a list of NB LTE supported frequencies and NB LTE -PRB indices obtained during periodic scanning of NB LTE cell search. Thereafter the process leads to step [306], if the said stored list is determined at step [304], otherwise, the process leads to step [312].
At step [306], the process encompasses performing a stored list search to identify at least one NB LTE cell from said stored list.
The process then leads to step [308], at step [308] the process determines if the NB LTE cell is identified during the performed search on said stored list. If the NB LTE cell is identified during said performed search then the process further leads to step [310], otherwise the process leads to step [312].

Further, the process at step [310] encompasses, camping on the NB LTE cell, identified during said performed a search on said stored list.
Furthermore, the process at step [312] encompasses a location-based detection of NB LTE -IoT device using at least one of a GPS, a Wi-Fi mechanism, a iZat mechanism and a BLE mechanism for identification of a location (i.e. location co-ordinates). The process Instead of performing full band scan (on all supported bands), detects the position of NB LTE -IoT Device (Lat, Long) from GPS/BLE/WiFi/iZat mechanism. For example, in a particular instance said current location coordinates of the NB LTE -IoT device may be detected by a known method including but not limited to iZat server mechanism, which identifies the location co-ordinates of said NB LTE -IoT device on the basis of Wi-Fi access point on which said NB LTE -IoT device is latching on. Also, in one other instance the current location coordinates of the NB LTE -IoT device may be detected by one of GPS, Wi-Fi and BLE mechanisms.
Thereafter, the process at step [314], determines whether the location co-ordinates are identified during said location-based detection using at least one of a GPS, a Wi-Fi mechanism, a iZat mechanism and a BLE mechanism for identification of a location. Further, if the location co-ordinates are identified the process leads to step [316], otherwise the process leads to step [320].
At step [316], the process encompasses mapping the identified location co-ordinates to at least one nearby NB eNodeB location from the look-up table. The process thereafter encompasses checking the look-up table maintained by the NB LTE IoT device and starting a scan only on listed EARFCNs from said look-up table.
Thereafter the process leads to step [318], at step [318] the process encompasses camping on the NB LTE cell identified during said scanning of only on listed EARFCNs from said look-up table.

Furthermore, the process at step [320] encompasses performing a full band scan and camping on the NB LTE cell.
While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the invention. These and other changes in the preferred embodiments of the invention will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter to be implemented merely as illustrative of the invention and not as a limitation.

We Claim:
1. A method of cell search in narrow band LTE, the method comprising:
- maintaining at the NB LTE -IoT device [100], a look-up table, wherein said look-up table comprises entries of NB eNodeB location co-ordinates, a circle information, and a list of EARFCNs corresponding to each of said location co¬ordinates;
- detecting, by the NB LTE -IoT device [100], a current location co-ordinates;
- mapping, via said the NB LTE -IoT device [100], said detected current location co-ordinates to at least one nearby NB eNodeB location;
- sorting, at the NB LTE -IoT device [100], said look-up table based on at least one location co-ordinate;
- performing at the NB LTE -IoT device [100], a search in the look-up table to identify at least one NB LTE cell, wherein said search is based on the list of EARFCNs corresponding to said current location coordinates.

2. The method as claimed in claim 1, the method further comprising, maintaining at said NB LTE -IoT device [100], a list of NB LTE supported frequencies and NB LTE -PRB indices obtained during periodic scanning of NB LTE cell search.
3. The method as claimed in claim 2, the method further comprising, performing a search on said list of NB LTE supported stored frequencies and said NB LTE -PRB indices, wherein said search results in one of a positive event and a negative event.
4. The method as claimed in claim 3, wherein the search in the look-up table is further based on a negative event of said search on said list of NB LTE supported stored frequencies and said NB LTE -PRB indices.
5. The method as claimed in claim 1, the method further comprising, camping, by the NB LTE -IoT device, on the identified at least one NB LTE cell.

6. The method as claimed in claim 1, wherein detecting said current location coordinates is based on at least one of a GPS, a Wi-Fi mechanism, a iZat mechanism and a BLE mechanism.
7. A system of cell search in narrow band LTE, the system comprising:

- a memory configured [106] to maintain at the NB LTE -IoT device [100], a look-up table, wherein said look-up table comprises entries of NB eNodeB location co-ordinates, a circle information and a list of EARFCNs corresponding to each of said location co-ordinates;
- a processing unit [104] coupled to the memory, said processing unit configured to:
detect a current location co-ordinates;
map said detected current location co-ordinates to at least one nearby
NB eNodeB location;
sort said look-up table based on at least one location co-ordinate;
perform a search in the look-up table to identify at least one NB LTE cell,
wherein said search is based on the list of EARFCNs corresponding to
said current location coordinates.
8. The system as claimed in claim 7, wherein the processing unit [104] is further configured to camp the NB LTE IoT device [100], on the identified at least one NB LTE cell.
9. The system as claimed in claim 7, wherein the processing unit [104] is further configured to detect said current location co-ordinates on the basis of at least one of a GPS, a Wi-Fi mechanism, a iZat mechanism and a BLE mechanism.