FORM 2
THE PATENTS ACT, 1970 (39 of 1970) THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
(See section 10; rule 13)
TITLE OF THE INVENTION
SYSTEM AND METHOD FOR SELECTION OF NEIGHBOUR CELLS IN A NETWORK
APPLICANT
JIO PLATFORMS LIMITED
of Office-101, Saffron, Nr. Centre Point, Panchwati 5 Rasta, Ambawadi, Ahmedabad -380006, Gujarat, India; Nationality : India
The following specification particularly describes
the invention and the manner in which
it is to be performed

RESERVATION OF RIGHTS
[001] A portion of the disclosure of this patent document contains material,
which is subject to intellectual property rights such as, but are not limited to, copyright, design, trademark, integrated circuit (IC) layout design, and/or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (herein after referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner.
TECHNICAL FIELD
[002] The embodiments of the present disclosure generally relate to a
communications network. More particularly, the present disclosure relates to a system and a method for managing a Neighbour Relation Table (NRT) in a network.
DEFINITIONS
[003] As used in the present disclosure, the following terms are generally
intended to have the meaning as set forth below, except to the extent that the context in which they are used to indicate otherwise.
[004] The expression ‘Physical Cell Identity (PCI)’ used hereinafter in the
specification refers to a unique identifier assigned to a specific cell within a Next Generation Radio Access Network (NG-RAN). It plays a role in the neighbour cell identification process and helps the network distinguish between different cells.
[005] The expression ‘Neighbour Relation Table (NRT)’ used hereinafter
in the specification refers to a data structure stored within gNodeB (base station) that maintains information about neighbouring cells. The NRT stores essential details about neighbouring cells relevant for XN handovers.
[006] The expression ‘Automatic Neighbour Relation (ANR)’ used

hereinafter in the specification refers to automating procedures within gNodeB such as detecting neighbouring cells based on signal measurements, estimating cell parameters like cell type and PCI, and populating the NRT with basic neighbour information.
[007] The expression ‘gNodeB’ or ‘generational Node B’ used hereinafter
in the specification refers to a component of the 5G network architecture that serves a similar function to the eNodeB in 4G LTE networks. It is essentially a base station that manages the radio communications between the network and mobile devices (user equipment).
[008] The expression ‘Dynamic Spectrum Sharing (DSS)’ used hereinafter
in the specification refers to a technology that enables mobile network operators to utilize the same spectrum bands for both 4G LTE and 5G NR (New Radio) services simultaneously.
[009] The expression ‘Radio Access Technologies (RATs)’ used
hereinafter in the specification refers to the various methods and technologies used for the wireless communication between User Equipment (UE) (such as smartphones, tablets, and IoT devices) and the network infrastructure (such as base stations and antennas). RATs encompass a wide range of standards and protocols that define how data is transmitted over the airwaves.
[010] The expression ‘Dynamic Self-Organizing Network (DSON)’ used
hereinafter in the specification refers to a technology used in telecommunications networks to automate the management and optimization of network resources and configurations. DSON utilizes algorithms and real-time data to dynamically adjust network parameters, improving overall network performance, efficiency, and reliability. This automation reduces the need for manual intervention and allows the network to adapt to changing conditions, such as varying traffic loads or interference levels, thereby enhancing user experience and operational efficiency.
[011] The expression ‘XN connection’ used hereinafter in the specification

refers to a specific communication link established between two gNodeBs (base stations) within a Next Generation Radio Access Network (NG-RAN).
[012] The expression ‘Absolute Radio Frequency Channel Number
(ARFCN)’ refers to a unique identifier that specifies a pair of physical radio carriers used for transmission and reception within a mobile radio system. The ARFCN assigns a distinct number to each frequency channel.
[013] The expression ‘Received Signal Strength (RSSI)’ refers to a general
measure of the overall power level of a received signal, including the desired signal, noise, and interference. It provides a basic understanding of signal strength but doesn't differentiate between the desired signal and unwanted elements.
[014] The expression ‘Reference Signal Received Power (RSRP)’ refers
to a metric that focuses on the power level of dedicated reference signals sent by cell towers. It offers a more reliable indicator of the strength of the desired cellular signal compared to RSSI.
[015] The expression ‘Reference Signal Received Quality (RSRQ)” refers
to the quality of the reference signals. It takes into account the amount of interference and noise affecting the signal, providing a better understanding of how well the signal can be decoded.
[016] The expression ‘Signal-to-Interference-plus-Noise Ratio (SINR)”
refers to indicating the ratio of the desired signal strength to the combined strength of interference and noise. A higher SINR signifies a clearer and more reliable signal for data transmission.
[017] The expression ‘Radio Resource Control (RRC)’ refers to a protocol
used in cellular networks, specifically UMTS (3G), LTE (4G), and 5G.
[018] These definitions are in addition to those expressed in the art.

BACKGROUND
[019] 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.
[020] In the telecommunications industry, particularly within the context
of 5G networks, cells are fundamental building blocks that ensure seamless connectivity and coverage. Each cell is typically equipped with a base station, known as a gNodeB (gNB), which facilitates wireless communication. For efficient network management, especially for processes like handovers where a mobile device moves from the coverage area of one cell to another, gNodeBs communicate directly through a dedicated interface, commonly referred to as the XN interface.
[021] The XN interface enables neighbouring gNodeBs to coordinate with
one another, preparing and executing the handover of User Equipment (UE) smoothly. This coordination relies on accurate and current knowledge of neighbouring cells, which is maintained in a Neighbour Relation Tables (NRT) of each gNodeB. The NRT contains entries for each neighbour cell and informs the gNodeB about adjacent cells to which a handover might occur.
[022] An automatic function in the gNodeB, known as Automatic
Neighbour Relation (ANR), is responsible for detecting new neighbouring cells. When a new cell is detected, ANR adds it to the NRT without manual intervention, thus keeping the NRT up to date with minimal administrative overhead. However, a significant challenge arises when a gNodeB receives an XN-Setup Request from a target gNodeB but cannot determine the specific neighbour cell to add to the NRT. In such cases, the gNodeB might add all neighbour cells to the NRT, leading to what is termed an ‘NRT overflow.’ This overflow is problematic because it can exhaust the NRT capacity, hindering the ability of the gNodeB to manage

handovers effectively and potentially degrading network performance.
[023] Therefore, there is a need for an improved system and method that
can address the limitations of the current NRT management approach. Such an innovation would ideally prevent NRT overflow by managing neighbour cell entries, ensuring the NRT maintains only relevant and necessary information for efficient handover execution without exceeding its capacity. This would not only optimize handover processes but also contribute to the overall robustness and reliability of the 5G network infrastructure.
OBJECTS OF THE PRESENT DISCLOSURE
[024] Some of the objects of the present disclosure, which at least one
embodiment herein satisfies are as listed herein below.
[025] An object of the present disclosure is to provide a system and a
method for selection of neighbour cells in a network.
[026] Another object of the present disclosure is to avoid adding all the
neighbour cells in a Neighbour Relation Table (NRT).
[027] Another object of the present disclosure is to improve the memory
consumption at the NRT table.
[028] Another object of the present disclosure is to provide a system and a
method that is economical and easy to implement.
SUMMARY
[029] The present disclosure relates to a system for managing a Neighbour
Relation Table (NRT) in a network. The system comprises a source node configured to identify at least one neighbouring cell based on a measurement report received from a User Equipment (UE), extract a New Radio (NR)-Cell Global Identity(CGI) of the at least one identified neighbouring cell, and transmit a setup request along with a source NRT associated with the source node including the NR-CGI of the at

least one identified neighbouring cell. The system also includes a target node configured to map the NR-CGI of the at least one identified neighbouring cell to a target NRT associated with the target node upon receipt of the setup request and send a setup response to the source node confirming the addition of a new neighbour cell.
[030] In one embodiment, the source node is further configured to send the
NRT of the identified neighbouring cell to the target node during the setup request.
[031] In one embodiment, the target node is configured to selectively add
a neighbour cell having a mapped CGI in the target NRT.
[032] In one embodiment, the source node and the target node are equipped
with functionalities for dynamic spectrum sharing (DSS) to enable services of a plurality of Radio Access Technologies (RATs).
[033] In one embodiment, a database is provided for storing the source
NRT and the target NRT.
[034] In one embodiment, the measurement report includes information
associated with the at least one neighbouring cell associated/connected with the UE, wherein the information includes a Physical Cell Identifier (PCI) and a Cell Global Identity (CGI) associated with the PCI.
[035] In one embodiment, the system further includes an Automatic
Neighbour Relation (ANR) module within the source node configured to automate the detection and addition of the new neighbour cells to the source NRT based on the measurement report.
[036] In one embodiment, the source node is configured to update the NRT
to include the CGI of a new neighbour cell based on the CGI measurement report.
[037] In another embodiment of the present disclosure, a method for
managing a Neighbour Relation Table (NRT) in a network is disclosed. The method

includes identifying at least one neighbouring cell based on a measurement report received from a User Equipment (UE), extracting a NR-CGI of the at least one identified neighbouring cell, transmitting a setup request along with a source NRT associated with the source node including the NR-CGI of the at least one identified neighbouring cell, mapping the NR-CGI of the at least one identified neighbouring cell to a target NRT associated with the target node NRT upon receipt of the setup request, and sending a setup response to the source node confirming the addition of a new neighbour cell.
[038] In another embodiment of the present subject matter relates to a user
equipment configured to retrieve data from a cluster of distributed databases. The user equipment includes identifying at least one neighbouring cell based on a measurement report received from a User Equipment (UE), extracting a NR-CGI of the at least one identified neighbouring cell, transmitting a setup request along with a source NRT associated with the source node including the NR-CGI of the at least one identified neighbouring cell, mapping the NR-CGI of the at least one identified neighbouring cell to a target NRT associated with the target node NRT upon receipt of the setup request, and sending a setup response to the source node confirming the addition of a new neighbour cell.
BRIEF DESCRIPTION OF THE DRAWINGS
[039] 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 the disclosure of electrical components, electronic components or circuitry commonly used to implement such components.

[040] FIG. 1 illustrates an exemplary network architecture for
implementing a system for managing a NRT in a network, in accordance with an embodiment of the present disclosure.
[041] FIG. 2 illustrates an exemplary block diagram of the system for
managing the NRT in the network, in accordance with an embodiment of the present disclosure.
[042] FIG. 3 illustrates an exemplary representation of detecting neighbour
cells using an automatic neighbour relation (ANR) mechanism, in accordance with some embodiments of the present disclosure.
[043] FIG. 4 illustrates an exemplary flow diagram representing a method
for managing the NRT in the network, in accordance with some embodiments of the present disclosure.
[044] FIG. 5 illustrates a flow diagram of a method for managing the NRT
in the network, in accordance with embodiments of the present disclosure.
[045] FIG. 6 illustrates an exemplary computer system in which or with
which the embodiments of the present disclosure may be implemented.
[046] The foregoing shall be more apparent from the following more
detailed description of the disclosure.
LIST OF REFERENCE NUMERALS
100 - Network Architecture
102-1, 102-2…102-N - Users
104-1, 104-2…104-N - User Equipments (UEs)
106 - Network
108 - System
112 - Centralized server
200 - Block diagram

202 - Processor(s)
204 - Memory
206 - Interface(s)
208 - Processing engine(s)
210 - Database
P1, P2, P3, P4, P5, P6 - Physical Cell Identifiers (PCIs) for respective cells
314 – Measurement module
315 - Dynamic Self-Organizing Network (DSON) 401A – Centralized Unit (CU) 1, source node 401B – Centralized Unit (CU) 2, target node 402A – Cell-1, cell-2, cell-3 - serving cells of CU1 401B – Cell-4, cell-5, cell-6 - serving cells of CU2 600 - Computer System
610 - External Storage Device
620 - Bus
630 - Main Memory
640 - Read Only Memory
650 - Mass Storage Device
660 - Communication Port
670 - Processor
BRIEF DESCRIPTION OF THE INVENTION
[047] 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 any 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. Example embodiments of

the present disclosure are described below, as illustrated in various drawings in which like reference numerals refer to the same parts throughout the different drawings.
[048] 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 disclosure as set forth.
[049] 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.
[050] Also, it is noted that individual embodiments may be described as a
process that 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.
[051] The word “exemplary” and/or “demonstrative” is used herein to

mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive like the term “comprising” as an open transition word without precluding any additional or other elements.
[052] Reference throughout this specification to “one embodiment” or “an
embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
[053] The terminology used herein is to describe particular embodiments
only and is not intended to be limiting the disclosure. As used herein, the singular forms “a”, “an”, and “the” are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any combinations of one or more of the associated listed items. It should be noted that the terms “mobile device”, “user equipment”, “user device”, “communication device”, “device” and similar terms are used interchangeably for the purpose of describing the invention. These terms

are not intended to limit the scope of the invention or imply any specific functionality or limitations on the described embodiments. The use of these terms is solely for convenience and clarity of description. The invention is not limited to any particular type of device or equipment, and it should be understood that other equivalent terms or variations thereof may be used interchangeably without departing from the scope of the invention as defined herein.
[054] As used herein, an “electronic device”, or “portable electronic
device”, or “user device” or “communication device” or “user equipment” or “device” refers to any electrical, electronic, electromechanical, and computing device. The user device is capable of receiving and/or transmitting one or parameters, performing function/s, communicating with other user devices, and transmitting data to the other user devices. The user equipment 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 user equipment 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, Wi-Fi, Wi-Fi direct, etc. For instance, the user equipment may include, but not limited to, a mobile phone, smartphone, virtual reality (VR) devices, augmented reality (AR) devices, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer, mainframe computer, or any other device as may be obvious to a person skilled in the art for implementation of the features of the present disclosure.
[055] Further, the user device may also comprise a “processor” or
“processing unit” includes processing unit, wherein processor refers to any logic circuitry for processing instructions. The 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 is a hardware processor.
[056] As portable electronic devices and wireless technologies continue to
improve and grow in popularity, the advancing wireless technologies for data transfer are also expected to evolve and replace the older generations of technologies. In the field of wireless data communications, the dynamic advancement of various generations of cellular technology are also seen. The development, in this respect, has been incremental in the order of second generation (2G), third generation (3G), fourth generation (4G), and now fifth generation (5G), and more such generations are expected to continue in the forthcoming time.
[057] While considerable emphasis has been placed herein on the
components and component parts of 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 disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure 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 is to be interpreted merely as illustrative of the disclosure and not as a limitation.
[058] Embodiments herein relate to systems and methods for selection of
neighbour cells in the network. Upon detecting the neighbour cells with incoming XN Procedure, the corresponding neighbour cell is added to the NRT. However, with the current system, all the neighbour cells are added in the NRT. Therefore, the NRT gets exhausted quickly.
[059] In order to overcome the above-mentioned technical problem, only
valid neighbour cells are selected among all the neighbour cells to add to the NRT. In one embodiment, source gNodeB transmits NRTs of all its serving cells to the target gNodeB in XN-Setup/NG RAN Node Configuration, so that target gNodeB can check the NRT of each cell in the received message and add only the one, which

matches with the NR-CGI of the own serving cells in the NRT.
[060] In another embodiment, instead of transmitting NRTs of all its
serving cells to the target gNodeB, only NRT of the serving cells belonging to the target gNodeB are transmitted.
[061] Thus, the NRT is updated upon receiving an Incoming XN-Setup
Request/ NG RAN Node Configuration to keep the only the valid neighbour cell in the NRT, where the valid neighbours refer to neighbour cells overlapped with the source gNodeB. The neighbour cells that are non-overlapped with the source gNodeB, are not relevant and therefore, are not stored in the NRT.
[062] In this manner, the present invention provides a system and a method
to optimize selection of valid neighbour cells. In addition, storing only the valid neighbours in the NRT facilitates helping in building NRT precisely with optimal neighbour cell selection to achieve efficient memory utilization.
[063] The various embodiments throughout the disclosure will be
explained in more detail with reference to FIGS. 1-6.
[064] FIG. 1 illustrates an exemplary network architecture (100) for
implementing a system (108) for managing an NRT in a network, in accordance with embodiments of the present disclosure.
[065] Referring to FIG. 1, the network architecture (100) includes one or
more computing devices or user equipments (104-1, 104-2…104-N) associated with one or more users (102-1, 102-2…102-N) in an environment. A person of ordinary skill in the art will understand that one or more users (102-1, 102-2…102-N) may be individually referred to as the user (102) and collectively referred to as the users (102). Similarly, a person of ordinary skill in the art will understand that one or more user equipments (104-1, 104-2…104-N) may be individually referred to as the user equipment (104) and collectively referred to as the user equipment (104). A person of ordinary skill in the art will appreciate that the terms “computing

device(s)” and “user equipment” may be used interchangeably throughout the disclosure. Although three user equipments (104) are depicted in FIG. 1, however any number of the user equipments (104) may be included without departing from the scope of the ongoing description.
[066] In an embodiment, the user equipment (104) includes smart devices
operating in a smart environment, for example, an Internet of Things (IoT) system. In such an embodiment, the user equipment (104) includes, but is not limited to, smart phones, smart watches, smart sensors (e.g., mechanical, thermal, electrical, magnetic, etc.), networked appliances, networked peripheral devices, networked lighting system, communication devices, networked vehicle accessories, networked vehicular devices, smart accessories, tablets, smart television (TV), computers, smart security system, smart home system, other devices for monitoring or interacting with or for the users (102) and/or entity (110), or any combination thereof. A person of ordinary skill in the art will appreciate that the user equipment (104) may include, but is not limited to, intelligent, multi-sensing, network-connected devices, which can integrate seamlessly with each other and/or with a central server or a cloud-computing system or any other device that is network-connected.
[067] In an embodiment, the user equipment (104) includes, but is not
limited to, a handheld wireless communication device (e.g., a mobile phone, a smart phone, a phablet device, and so on), a wearable computer device(e.g., a head-mounted display computer device, a head-mounted camera device, a wristwatch computer device, and so on), a Global Positioning System (GPS) device, a laptop computer, a tablet computer, or another type of portable computer, a media playing device, a portable gaming system, and/or any other type of computer device with wireless communication capabilities, and the like. In an embodiment, the user equipment (104) includes, but is not limited to, any electrical, electronic, electro¬mechanical, or an equipment, or a combination of one or more of the above devices such as virtual reality (VR) devices, augmented reality (AR) devices, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer,

mainframe computer, or any other computing device, wherein the user equipment (104) may include one or more in-built or externally coupled accessories including, but not limited to, a visual aid device such as a camera, an audio aid, a microphone, a keyboard, and input devices for receiving input from the user (102) or the entity 5 (110) such as touch pad, touch enabled screen, electronic pen, and the like. A person of ordinary skill in the art will appreciate that the user equipment (104) may not be restricted to the mentioned devices and various other devices may be used.
[068] Referring to FIG. 1, the user equipment (104) is configured to
communicate with the system (108), for example, a repetitive logs suppression
10 system (208), through the network (106). In an embodiment, the network (106) includes at least one of a Fifth Generation (5G) network, 6G network, or the like. The network (106) enables the user equipment (104) to communicate with other devices in the network architecture (100) and/or with the system (108). The network (106) includes a wireless card or some other transceiver connection to facilitate this
15 communication. In another embodiment, the network (106) may be implemented as, or include any of a variety of different communication technologies such as a wide area network (WAN), a local area network (LAN), a wireless network, a mobile network, a Virtual Private Network (VPN), the Internet, the Public Switched Telephone Network (PSTN), or the like.
20 [069] In another exemplary embodiment, a centralized server (112) may
include or comprise, by way of example but not limitation, one or more of: a stand¬alone server, a server blade, a server rack, a bank of servers, a server farm, hardware supporting a part of a cloud service or system, a home server, hardware running a virtualized server, one or more processors executing code to function as a server,
25 one or more machines performing server-side functionality as described herein, at least a portion of any of the above, some combination thereof.
[070] In another embodiment, the system (108) is configured for managing
the NRT, utilizing an Automatic Neighbour Relation (ANR) mechanism.
[071] The system (108) includes two gNodeBs, a source node also referred
17

to as source gNodeB initiating the process, and a target node which may also be referred to as target gNodeB that completes the integration of the neighbour cells. The source gNodeB initiates the procedure by collecting measurement reports from the UE (104) that include unidentified the PCIs, then instructs the UE (104) to 5 acquire the CGI corresponding to the unidentified/unknown PCIs. Once the CGI information is received, the source gNodeB updates the NRT and initiates an XN connection with the target gNodeB by sending an XN-Setup request containing the updated NRT.
[072] The target gNodeB is configured to cross-reference the received CGI
10 against an internal database. Upon establishing a match, the target gNodeB incorporates this new neighbour cell into its NRT and responds to the source gNodeB with an XN-Setup response to confirm the successful integration.
[073] The system (108) is configured for the selective transmission of
NRT data from the source gNodeB, which restricts its communication to the target 15 gNodeB to include only the necessary neighbour cell information. Thus, the transmission of redundant cell information is reduced, conserving network resources and improving the efficiency of the update process.
[074] Additionally, the target gNodeB is configured to apply strict criteria
when adding new cells to the NRT, ensuring that only validated neighbour cells are 20 incorporated. Thus, the memory is conserved, and the accuracy and reliability of the network’s relational mappings are ensured.
[075] FIG. 2 illustrates an example block diagram (200) of the system
(108), in accordance with an embodiment of the present disclosure.
[076] Referring to FIG. 2, in an embodiment, the system (108) may include
25 one or more processor(s) (202). The one or more processor(s) (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other
18

capabilities, the one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the system (108). The memory (204) may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storage 5 medium, which may be fetched and executed to create or share data packets over a network service. The memory (204) may comprise any non-transitory storage device including, for example, volatile memory such as random-access memory (RAM), or non-volatile memory such as erasable programmable read only memory (EPROM), flash memory, and the like.
10 [077] In an embodiment, the system (108) may include an interface(s)
(206). The interface(s) (206) may comprise a variety of interfaces, for example, interfaces for data input and output devices (I/O), storage devices, and the like. The interface(s) (206) may facilitate communication through the system (108). The interface(s) (206) may also provide a communication pathway for one or more
15 components of the system (108). Examples of such components include, but are not limited to, processing engine(s) (208) and a database (210). Further, the processing engine(s) (208) may include one or more engine(s), such as, but not limited to, an input/output engine, an identification engine, and an optimization engine.
[078] In an embodiment, the processing engine(s) (208) may be
20 implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) (208). In the examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor-25 executable instructions stored on a non-transitory machine-readable storage medium, and the hardware for the processing engine(s) (208) may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the 30 processing engine(s) (208). In such examples, the system (108) may comprise the
19

machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the system (108) and the processing engine (208). In other examples, the processing engine(s) (208) may be implemented by electronic 5 circuitry.
[079] In an embodiment, the system (108) is configured for the
management of the NRT within the telecommunications networks, by a strategic selection of valid neighbour cells to be included in the NRT. This selection process is integral to the functionality of the gNodeB, the base stations that facilitate 10 communication within the network. A gNodeB, or generational Node B, is a component of the 5G network architecture that serves a similar function to the eNodeB in 4G LTE networks. It is essentially a base station that manages the radio communications between the network (106) and the UE (104).
[080] The gNodeB has two roles delineated as the source node and the
15 target node in the network configuration. The source gNodeB initiates an exchange by gathering and transmitting a source node NRT of all its active serving cells to the target gNodeB. The transmission is part of the XN-Setup/NG RAN Node configuration process, wherein the target gNodeB reviews the received NRT data from the source gNodeB. The target gNodeB then identifies and adds only those 20 neighbour cells that exhibit a match with its own CGI, ensuring a precise and relevant update to a target node NRT.
[081] To streamline this process, one embodiment allows for the selective
transmission of NRT information pertinent to serving cells recognized by the target gNodeB. This refinement prevents the overload of the target gNodeB with 25 extraneous data, thereby enhancing the efficiency of the update procedure.
[082] The optimization of the system (108) is evident when it receives an
incoming setup request that may also be referred to as an XN-Setup Request or an NG RAN Node Configuration. During this stage, the system (108) updates the NRT to retain only those neighbour cells with an operational overlap with the source
20

gNodeB, referred to as ‘valid neighbours’. This selection filters out non-overlapping cells, which are deemed irrelevant for the NRT, conserving memory, and enhancing the accuracy of the NRT.
[083] For instance, if the source gNodeB is serving cells A, B, and C and
5 the target gNodeB is serving cells D, E, and F, and a new cell G is detected with an incoming XN procedure, the system (108) may determine if cell G overlaps with any of the serving cells A, B, or C. If it is determined that cell G overlaps with other cells, it is deemed a valid neighbour and is added to the NRT of the source node; if not, it is disregarded.
10 [084] The system for maintaining the NRT ensures that only meaningful
and validated connections are considered, promoting an organized and efficient use of memory. By implementing this systematic inclusion of neighbours, the system (108) reduces the rapid exhaustion of NRT resources, as observed in field tests, and aligns with the goal of optimal NRT management.
15 [085] In an example of Physical Cell Identity (PCI), when the gNodeB
receives a PCI measurement report indicating an unfamiliar PCI, instead of randomly adding it to the NRT, the system (108) prompts the UE (104) to report the CGI for the new PCI. In cellular networks, each cell is identified by a unique PCI, which consists of a specific number that distinguishes it from other cells. The
20 PCI helps in the coordination of handovers and interference management within the network (106). A PCI measurement report is a report generated by the UE (104) and includes measurements related to the signal strength and quality from various cells identified by their PCIs. Upon validation of the CGI against the NRT serving cells, the new cell is added only if it aligns with the existing network structure.
25 Thus, the NRT overflow is prevented, and the management of network relations is streamlined, significantly improving network performance and resource allocation.
[086] Thus, the system (108) optimizes the selection of valid neighbour
cells. In addition, storing only the valid neighbours in the NRT facilitates helping in building the NRT precisely with optimal neighbour cell selection to achieve
21

efficient memory utilization.
[087] Although FIG. 2 shows exemplary components of the system (108),
in other embodiments, the system (108) may include fewer components, different components, differently arranged components, or additional functional components 5 than depicted in FIG. 2. Additionally, or alternatively, one or more components of the system (108) may perform functions described as being performed by one or more other components of the system (108).
[088] FIG. 3 illustrates an exemplary representation (300) of detecting
neighbour cells using an ANR mechanism, in accordance with some embodiments
10 of the present disclosure. The ANR mechanism involves periodic measurements and broadcasts between neighbouring base stations/cells to exchange information about signal strength, quality, and other relevant parameters. Based on this information, each base station can dynamically update its list of neighbouring cells (stored in their respective NRTs) and adjust its operation accordingly. In an
15 example, there are two centralized units (CU1) (401A) and (CU2)(401B). Here, the source node may be referred to as the CU1 (401A), and the target node may be referred to as the CU2 (401B). Further, CU1 (401A) has three serving cells cell-1, cell-2, and cell-3 (as shown by 403A), and the CU2 (401B) has serving cells cell-4, cell-5, and cell-6 (as shown by 403B). The cell-1, cell-2, cell-3, cell-4, cell-5,
20 and cell-6 (as shown by 403A, 403B) are associated with the physical cell Identification (ID) (PCI) P1, P2, P3, P4, P5, and P6, respectively.
[089] In step 302, a Radio Resource Control (RRC) request is sent by the
base station for PCI information from the UE (104). Further, the RRC reconfiguration information is sent by the network infrastructure, specifically by 25 the base station (eNodeB in LTE or gNodeB in 5G) in response to various triggers or network conditions. Furthermore, the ANR measurements are sent for reporting PCI configuration to a measurement module (314) and RRC reconfiguration information is sent to the UE (104). The ANR measurements typically include various parameters that help base stations assess the quality and strength of signals
22

from neighbouring cells. These measurements enable the base stations to make informed decisions about handovers and resource allocation. For example, the ANR measurements include various information such as Received Signal Strength (RSSI), Reference Signal Received Power (RSRP), Reference Signal Received 5 Quality (RSRQ), Signal-to-Interference-plus-Noise Ratio (SINR), Cell Identity (Cell ID) and the PCI. In response, the UE (104) may send RRC Reconfiguration Complete to gNodeB and may then send the PCI measurement report to gNodeB.
[090] In step 304, upon receiving a PCI Measurement report with an
unknown PCI(P4), a DSON (315) transmits measurement information to the UE
10 (104) to send (report) CGI measurement configuration, in order to report CGI of PCI P4. The DSON (315) provides an autonomous configuration, allowing network elements like base stations to adapt parameters based on local data, enhancing adaptability to changing conditions. Also, the DSON (315) provides decentralized decision-making and empowers individual elements to optimize network
15 performance without reliance on a central controller collaboratively. Dynamic resource allocation ensures efficient utilization of radio resources in response to real-time demand and network conditions. The DSON (315) employs interference management techniques to minimize disruptions caused by neighbouring cells, promoting enhanced network performance. Additionally, it facilitates load
20 balancing by autonomously redistributing traffic among cells, optimizing resource usage. Lastly, the DSON (315) integrates self-healing capabilities, enabling autonomous detection and mitigation of network faults to ensure continuous service delivery and resilience against disruptions.
[091] In step 306, the RRC reconfiguration is sent to the UE (104) and in
25 response to that, the completed RRC reconfiguration may be received from the UE (104) by the measurement module (314).
[092] In step 308, the UE (104) transmits a CGI measurement report to the
DSON (315). In an aspect, the CGI measurement report may include essential information about the cell that the UE is currently connected to or communicating
23

with. The CGI measurement report may include a Location Area Code (LAC), which identifies a group of cells within a specific geographic area, a Timing Advance parameter that represents the time delay between the transmission from the mobile device and the reception at the base station, and a set of Quality 5 Indicators (e.g., RSRP, RSRQ, SINR).
[093] In step 310, the CGI configuration removal request/report is sent by
the DSON (315) to the measurement module (314). The CGI configuration removal request/report is generated by the DSON (315) on determining that the CGI configuration needs to be removed for a particular UE (104). This decision could 10 be based on factors such as network optimization, handover requirements, or changes in network topology.
[094] In step 312, the PCI P4 is added to the NRT for cell 1.
[095] In an embodiment, the source gNodeB i.e., the CU1 (401A) may try
to establish an XN connection with the target gNodeB i.e., the CU2 (401B). Further, 15 the direct PCI identification at target gNodeB side is depicted through FIG. 4.
[096] FIG. 4 illustrates an exemplary representation of flow diagram
representing a method (400) for cell selection in a network, in accordance with some embodiments of the present disclosure.
[097] At step 402, in continuation with FIG. 3, to establish a connection
20 that may also be referred to as an XN connection between the source gNodeB or the CU1 (401A) and target gNodeB or the CU2 (401B), and to trigger an uplink (UL) RAN configuration update transfer procedure by the CU1 (401A), Internet Protocol address (IP address) of the CU2 (401B) may be required to be fetched. Upon receiving the IP address, the CU1 (401A) may trigger the setup request that 25 may also be referred as an XN Setup Request with a source NRT of all its cells – cell-1, cell-2, and cell-3 towards the CU2 (401B). The XN connection facilitates communication and coordination between gNodeB during XN handovers. This allows for a seamless transfer of the UE (104) between cells served by the different
24

gNodeB.
[098] At step 404, the CU1 (401A) may trigger the XN setup request with
the NRT of cell-1 belonging to the target gNodeB. In this embodiment, the NRT of
cell-2 and cell-3 are not transmitted towards the CU2 (401B). The transmission of
5 NRT of cell-1 information allows the transmission of the required information only.
[099] At step 406, upon receipt of the NRT of all the cells of the CU1
(401A), the CU2 (401B) may check the NRT of each cell of the CU1 (401A) and map the CGI of its cells. As only one cell among all its serving cells matches with the CGI in the NRT of one of the target cell. Therefore, the CU2 (401A) may add 10 that cell-1 as a neighbour in the NRT of the cell-4 of the target gNodeB and may send the XN-Setup Response to the CU1 (401A).
[100] At step 408, upon receipt of the NRT of the cell-1, the CU2 (401B)
may determine that the NRT of cell-1 has only cell-4 and accordingly, the CU2 (401B) may add cell-1 as a neighbour cell in the NRT of cell-4 of the target gNodeB 15 and may send the XN-Setup Response to the CU1 (401A).
[101] FIG. 5 illustrates a flowchart of a method (500) for managing an
NRT in a network, in accordance with embodiments of the present disclosure.
[102] At step 502, the method (500) is configured to identify at least one
neighbouring cell based on a measurement report received from the UE (104). The
20 UE (104) constantly measures the signal strength and quality of neighbouring cells. This information is reported to the network through the measurement report. The network (specifically, the DSON (315 as provided in FIG. 3) functionality within a gNodeB) analyzes the measurement report to identify potential neighbouring cells. The identification process is based on PCI and ARFCN values (Absolute Radio
25 Frequency channel number) received in the measurement report. Further, the identification involves several key actions. Initially, the serving gNodeB initiates a measurement configuration process, instructing the UE (104) to monitor and report on the PCIs of surrounding cells. The UE (104) performs these measurements and
25

periodically sends PCI measurement reports back to the serving gNodeB. These reports contain data on the signal strength and quality from various cells identified by their PCIs. Upon receiving these PCI measurement reports, the gNodeB detects any unknown or new PCIs within the reports. In response, the gNodeB configures 5 the UE (104) to report the CGI for these unknown PCIs. The UE (104) then sends CGI measurement reports, which the gNodeB processes to determine the precise identities of the neighbouring cells. This comprehensive identification process ensures that only relevant neighbouring cells are considered for inclusion in the Neighbour Relation Table (NRT).
10 [103] At step 504, the method (500) is configured to extract the NR-CGI
of the identified neighbouring cell. This step involves several detailed actions. Firstly, the system (108) determine the CGI measurement report received from the UE (104), analyzing the data to locate the relevant CGI information. Next, it extracts the specific CGI values that correspond to the previously detected PCIs,
15 ensuring that the correct identifiers are obtained for the neighbouring cells. Finally, the system (108) validates these CGIs to confirm that they are within the operational range of the network, ensuring their relevance and accuracy for inclusion in the NRT.
[104] At step (506), the method (500) is configured to establish a
20 connection with the target node (401B) by transmitting a setup request with an NRT associated with the source node (401A), including the NR-CGI of only the identified neighbouring cell. This step involves initiating an XN-Setup Request from the source node (401A) to the target node (401B), thereby starting the communication process between the nodes. The request includes the NRT 25 containing only the validated NR-CGIs of the identified neighbouring cells, ensuring that only pertinent and verified information is transmitted. This approach ensures that the NRT transmitted is optimized to avoid overloading the target node (401B) with unnecessary data, enhancing the efficiency and effectiveness of the network management process.
26

[105] At step (508), the method (500) is configured to map the NR-CGI of
the identified neighbouring cell to an NRT associated with the target node (401B) upon receipt of the setup request. This step involves the target node (401B) receiving the NRT update request from the source node (401A) and checking the 5 received NR-CGIs against its own NRT. The target node (401B) maps the CGIs of the identified neighbouring cells to its NRT if they match the criteria for valid neighbours. This ensures that only relevant and valid neighbouring cells are integrated into the target node’s NRT, maintaining the accuracy and efficiency of the network’s neighbour relations.
10 [106] At step (508), the method (500) is configured to send a setup
response to the source node (401A) confirming the addition of a new neighbour cell. This step involves the target node (401B) finalizing the updates to its NRT and generating a response message that confirms the successful addition of the new neighbour cells. The target node (401B) then transmits this confirmation back to
15 the source node (401A), thereby completing the NRT optimization process and ensuring that both nodes have synchronized and accurate neighbour relation tables.
[107] FIG. 6 illustrates an exemplary computer system (600) in which or
with which the system (108) and the method (500) of the present disclosure may be implemented, in accordance with an embodiment of the present disclosure.
20 [108] As shown in FIG. 6, the computer system (600) may include an
external storage device (610), a bus (620), a main memory (630), a read-only memory (640), a mass storage device (650), a communication port(s) (660), and a processor (670). A person skilled in the art will appreciate that the computer system (600) may include more than one processor and communication ports. The
25 processor (670) may include various modules associated with embodiments of the present disclosure. The communication port(s) (660) may be any of an RS-232 port for use with a modem-based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or future ports. The communication ports(s) (660) may be chosen
27

depending on a network, such as a Local Area Network (LAN), Wide Area Network (WAN), or any network to which the computer system (600) connects.
[109] In an embodiment, the main memory (630) may be Random Access
Memory (RAM), or any other dynamic storage device commonly known in the art. 5 The read-only memory (540) may be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chip for storing static information e.g., start-up or basic input/output system (BIOS) instructions for the processor (670). The mass storage device (650) may be any current or future mass storage solution, which can be used to store information and/or instructions. 10 Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces).
[110] In an embodiment, the bus (620) may communicatively couple the
15 processor(s) (670) with the other memory, storage, and communication blocks. The bus (620) may be, e.g. a Peripheral Component Interconnect PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), Universal Serial Bus (USB), or the like, for connecting expansion cards, drives, and other subsystems as well as other buses, such a front side bus (FSB), which connects the processor (670) 20 to the computer system (600).
[111] In another embodiment, operator and administrative interfaces, e.g.,
a display, keyboard, and cursor control device may also be coupled to the bus (620) to support direct operator interaction with the computer system (600). Other operator and administrative interfaces can be provided through network 25 connections connected through the communication port(s) (660). The components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system (600) limit the scope of the present disclosure.
[112] In an embodiment, the present disclosure discloses a user equipment
28

(104) is configured to optimize a Neighbour Relation Table (NRT) in a network (106). The user equipment (104) includes analyzing a measurement report from the User Equipment (UE), which contains information about neighbouring cells. Based on this report, the network identifies at least one relevant neighbouring cell. The 5 key optimization comes in the next step. Instead of transmitting the entire NRT, the network extracts and transmits only the NR-CGI of the identified neighbouring cell along with a setup request to the target node (401B) (another gNodeB) responsible for that cell. Upon receiving the request, the target node (401B) can efficiently map the NR-CGI to its own NRT and determine if a matching cell exists. Finally, if a 10 match is found, the target node (401B) confirms the addition of the new neighbour by sending a setup response back to the source node (401A). This approach significantly reduces unnecessary data transmission and optimizes NRT management, leading to a more efficient and scalable network.
[113] In an alternative embodiment, the system is configured to enhance
15 the efficiency of the Neighbour Relation Table (NRT) management. The system operates within the network architecture, primarily involving interactions between source and target gNodeBs, aiming to optimize NRT utilization.
[114] The source gNodeB, which is equipped with advanced data
processing capabilities, is configured for handling incoming data from user 20 equipment (UE). Upon receiving a PCI measurement report that includes an unknown PCI, the source gNodeB takes a deliberate approach. It does not automatically add this PCI to the NRT. Instead, it instructs the UE to generate a report for the CGI associated with the unknown PCI.
[115] Upon receiving the CGI measurement report from the UE, the source
25 gNodeB applies a validation process to assess the compatibility of the new cell with the existing network structure. Thus, the unnecessary expansion of the NRT is prevented, addressing the issue of rapid exhaustion of NRT space identified during field testing. By doing so, the system enhances the management of network relationships, improving overall network performance and resource allocation
29

efficiency.
[116] On the other side, the target gNodeB, upon receiving an XN-Setup
request including the updated NRT from the source gNodeB, integrates the CGI of the new neighbour cell into its NRT. The target gNodeB evaluates the received NRT, selectively adding cells that are compatible with its existing network framework. This selective addition strategy ensures that only relevant and valid neighbour cells are incorporated into the NRT, thereby optimizing memory usage and network efficiency.
[117] 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 disclosure. These and other changes in the preferred embodiments of the disclosure 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 is to be implemented merely as illustrative of the disclosure and not as a limitation.
[118] The present disclosure provides technical advancement related to
managing NRT in cellular networks. This advancement addresses the limitations of existing solutions by offering a more efficient method for selecting and managing neighbour cells. The present disclosure involves several inventive aspects, such as automating the detection and addition of new neighbour cells based on measurement reports from the UE, dynamically mapping cell identities between the source and the target nodes and providing configurable thresholds for efficient memory consumption at the NRT. The present disclosure improves and enhances performance, efficiency, and cost-effectiveness. Further, the present disclosure significantly enhances network management, resulting in optimized resource utilization, reduced processing delays, and improved overall network performance.
ADVANTAGES OF THE PRESENT DISCLOSURE
[119] The present disclosure provides a system and a method for a

selection of neighbour cells in a network.
[120] The present disclosure provides the system and the method to avoid
adding all the neighbour cells in the NRT.
[121] The present disclosure provides the system and the method to
improve the memory consumption at the NRT table.
[122] The present disclosure provides the system and the method to
maintain the size of the NRT within a specified range.
[123] The present disclosure provides the system and the method that are
economical and easy to implement.

We Claim:
1. A system (108) for managing a Neighbour Relation Table (NRT) in a
network (106), the system (108) comprising:
a source node (401A) configured to:
identify at least one neighbouring cell based on a measurement report received from a User Equipment (UE) (104);
extract a Neighbour Radio (NR)-CGI (Cell Global Identity) of the at least one identified neighbouring cell;
transmit a setup request along with a source NRT associated with the source node (401A) including the NR-CGI of the at least one identified neighbouring cell; and a target node (401B) configured to:
map the NR-CGI of the at least one identified neighbouring cell to a target NRT associated with the target node (401B) upon receipt of the setup request, and
send a setup response to the source node (401A) confirming an addition of a new neighbour cell.
2. The system (108) as claimed in claim 1, wherein the source node (401A) is further configured to send the NRT of the identified neighbouring cell to the target node (401B) during the setup request.
3. The system (108) as claimed in claim 1, wherein the target node (401B) is configured to selectively add the new neighbour cell having a mapped CGI in the target NRT.
4. The system (108) as claimed in claim 1, wherein the source node (401A) and the target node (401B) are equipped with functionalities for dynamic spectrum sharing (DSS) to enable services of a plurality of Radio Access Technologies (RATs).

5. The system (108) as claimed in claim 1, includes a database (210) for storing the source NRT and the target NRT.
6. The system (108) as claimed in claim 1, wherein the measurement report includes information associated with the at least one neighbouring cell associated/connected with the UE (104), wherein the information includes a Physical Cell Identifier (PCI) and a CGI associated with the PCI.
7. The system (108) as claimed in claim 1, further includes an Automatic Neighbour Relation (ANR) module within the source node (401A) configured to automate the detection and addition of the new neighbour cells to the source NRT based on the measurement report.
8. The system (108) as claimed in claim 1, wherein the source node (401A) is configured to update the NRT to include the CGI of the new neighbour cell based on the CGI measurement report.
9. A method (500) for managing a Neighbour Relation Table (NRT) in a network (106), the method (500) comprising:
identifying (502) at least one neighbouring cell based on a measurement report received from a User Equipment (UE) (104);
extracting (504) a New Radio (NR)-CGI (Cell Global Identity) of the at least one identified neighbouring cell;
transmitting (506) a setup request along with a source NRT associated with the source node (401A) including the NR-CGI of the at least one identified neighbouring cell;
mapping (508) the NR-CGI of the at least one identified neighbouring cell to a target NRT associated with the target node NRT upon receipt of the setup request; and
sending (510) a setup response to the source node (401A) confirming an addition of a new neighbour cell.

10. The method (500) as claimed in claim 9, wherein the source node (401A) is further configured to send the NRT of the identified neighbouring cell to the target node (401B) during the setup request.
11. The method (500) as claimed in claim 9, wherein the target node (401B) is configured to selectively add a neighbour cell having a mapped CGI in the target NRT.
12. The method (500) as claimed in claim 9, wherein the source node (401A) and the target node (401B) are equipped with functionalities for dynamic spectrum sharing (DSS) to enable services of a plurality of Radio Access Technologies (RATs).
13. The method (500) as claimed in claim 9, further comprising storing the NRT in a database (210).
14. The method (500) as claimed in claim 9, wherein the measurement report includes information associated with the at least one neighbouring cell associated/connected with the UE (104), wherein the information includes a Physical Cell Identifier (PCI) and a CGI associated with the PCI.
15. The method (500) as claimed in claim 9, further comprising an Automatic Neighbour Relation (ANR) module within the source node (401A) configured to automate the detection and addition of the new neighbour cells to the NRT based on the measurement report.
16. The method (500) as claimed in claim 9, wherein the source node (401A) is configured to update the NRT to include the CGI of a new neighbour cell based on the CGI measurement report.

17. A user equipment (104) configured to optimize a Neighbour Relation Table (NRT) in a network (106), the user equipment (104) comprising:
identifying at least one neighbouring cell based on a measurement report received from a User Equipment (UE) (104);
extracting a New Radio (NR)-CGI (Cell Global Identity) of the at least one identified neighbouring cell;
transmitting a setup request along with a source NRT associated with the source node (401A) including the NR-CGI of the at least one identified neighbouring cell;
mapping the NR-CGI of the at least one identified neighbouring cell to a target NRT associated with the target node NRT upon receipt of the setup request; and
sending a setup response to the source node (401A) confirming an addition of a new neighbour cell.