FORM 2
THE PATENTS ACT, 1970 (39 OF 1970) & THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
“METHOD AND SYSTEM FOR DETERMINING A LOCATION OF A USER EQUIPMENT (UE)”
We, Jio Platforms Limited, an Indian National, of Office - 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.

METHOD AND SYSTEM FOR DETERMINING A LOCATION OF A
USER EQUIPMENT (UE)
FIELD OF INVENTION
[0001] Embodiments of the present disclosure relates generally to the field of wireless communication systems. More particularly, embodiments of the present disclosure relate to methods and systems for determining a location of a user equipment (UE).
BACKGROUND
[0002] 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.
[0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. The third generation (3G) technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to

connect multiple devices simultaneously. With each generation, wireless communication technology has become more advanced, sophisticated, and capable of delivering more services to its users.
[0004] In previous solutions for determining a location of a user equipment (UE) configured in a wireless network system, there was a lack of consideration for selecting techniques based on different area types such as Urban, Semi-Urban, Rural for determining said location. This oversight meant that the same technique was often employed for location determination across various area types, leading to potential impacts on location accuracy. Without taking into account the specific characteristics and requirements of different area types, such as urban, rural, or mountainous regions, the chosen technique may not be optimized to deliver precise and reliable location data in each scenario. This limitation could result in inaccuracies, inconsistencies, or even failures in accurately determining the location, thereby affecting the overall effectiveness of the wireless network system.
[0005] Further, over the period of time various solutions have been developed to improve the performance of communication devices (e.g., UEs) and to optimise location determination of a UE based on an area type. However, there are certain challenges with existing solutions. A significant technical limitation in the existing solutions is the absence of steps to select techniques (for determining location) based on area types. This limitation can adversely impact location accuracy. By utilizing the same process for location determination across different area types, the existing systems failed to account for the unique characteristics and challenges presented by each area type. For instance, urban areas with dense buildings and high signal interference require solutions optimized for such environments, while rural or mountainous regions necessitate solutions that consider factors like terrain and sparse signal coverage. Neglecting to select appropriate processes or techniques based on area type can lead to reduced location accuracy, resulting in inaccurate or unreliable location data.

[0006] Thus, there exists an imperative need in the art to optimise location determination of a UE based on an area type, which the present disclosure aims to address.
OBJECTS OF THE INVENTION
[0007] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.
[0008] It is an object of the present disclosure to provide a system and a method for optimising location determination of a UE based on an area type.
[0009] It is another object of the present disclosure to provide a solution that retrieves a set of positioning instructions from a Location management function (LMF) of a network entity based on an area type defined for a particular cell of the network entity, wherein each positioning instruction from the set of positioning instructions include an instruction for enhancing accuracy and reliability of location determination for the UE within the said cell.
SUMMARY
[0010] This section is provided to introduce certain 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.
[0011] An aspect of the present disclosure relates to a method for determining a location of a user equipment (UE). The method comprising receiving by a transceiver unit at a Location management function (LMF) from an Access and

Mobility Management Function (AMF), a location request of the UE, wherein the location request at least comprises a new radio (NR) Cell Global Identifier (NCGI) value associated with a radio access network (RAN) of the UE. The method further comprises determining, by a determination unit at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value. Further, the method comprises configuring, by a setup unit at the LMF, a set of cell details based on the NCGI value, wherein the set of cell details comprises at least an area type identifier associated with the target RAN vendor. The method further comprises identifying, by an identification unit at the LMF from a database, at least a target pre-configured technique from a set of pre-configured techniques associated with the area type identifier. Further, the method comprises determining, by the determination unit, the location of the UE associated with the location request based on at least the target pre-configured technique.
[0012] In an exemplary aspect of the present disclosure, the set of cell details further comprises at least one of a Next Generation Node B (gNB) Identifier, a cell identifier, a Mobile Country Code (MCC), a Mobile Network Code (MNC), a cell latitude identifier, a cell longitude identifier, and a cell radius identifier.
[0013] In an exemplary aspect of the present disclosure, the area type identifier is at least one of an urban area type identifier, and a rural area type identifier.
[0014] In an exemplary aspect of the present disclosure, the target pre-configured technique from the set of pre-configured techniques is identified based on the at least one of the urban area types identifiers, and the rural area type identifier configured at the LMF.
[0015] In an exemplary aspect of the present disclosure, the pre-configured techniques include at least one of signal strength-based methods, Wi-Fi positioning, cellular network positioning, or assisted GPS (A-GPS) techniques.

[0016] In an exemplary aspect of the present disclosure, the target pre-configured technique continuously receives inputs from regulatory authorities and update a categories of the area type
[0017] In an exemplary aspect of the present disclosure, the method further comprises updating, by an updating unit, the database within the LMF to reflect a modified set of pre-configured techniques.
[0018] Another aspect of the present disclosure relates to a system for determining a location of a user equipment (UE). The system comprises a transceiver unit, wherein the transceiver unit is configured to receive, at a Location management function (LMF) from an Access and Mobility Management Function (AMF), a location request of the UE, wherein the location request at least comprises a new radio (NR) Cell Global Identifier (NCGI) value associated with a radio access network (RAN) of the UE. Further, the system comprises a determination unit that is connected to at least to the transceiver unit and is configured to determine, at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value. Further, the system comprises a setup unit that is connected at least to the determination unit and is configured to configure, at the LMF, a set of cell details based on the NCGI value, wherein the set of cell details comprises at least an area type identifier associated with the target RAN vendor. Also, the system comprises an identification unit that is connected at least to the setup unit and is configured to identify, at the LMF from a database, at least a target pre-configured technique from a set of pre-configured techniques associated with the area type identifier. Further, the determination unit is configured to determine, the location of the UE associated with the location request based on at least the target pre-configured technique.
[0019] Yet another aspect of the present disclosure relates to a non-transitory computer readable storage medium storing instruction for determining a location of

a user equipment (UE). The storage medium comprising executable code which,
when executed causes a transceiver unit of the system to receive, at a Location
management function (LMF) from an Access and Mobility Management Function
(AMF), a location request of the UE, wherein the location request at least comprises
5 a New Radio (NR) Cell Global Identifier (NCGI) value associated with a radio
access network (RAN) of the UE. Further, the instructions include executable code, which when executed, causes a determination unit of the system to determine, at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value. Further, the instructions include executable code, which when
10 executed, causes a setup unit of the system to configure, at the LMF, a set of cell
details based on the value, wherein the set of cell details comprises at least an area type identifier associated with the target RAN vendor. Also, instructions include executable code, which when executed, causes an identification unit of the system to identify, at the LMF from a database, at least a target pre-configured technique
15 from a set of pre-configured techniques associated with the area type identifier.
Further, the instructions include executable code, which when executed, causes determination unit of the system to determine, the location of the UE associated with the location request based on at least the target pre-configured technique.
20 BRIEF DESCRIPTION OF DRAWINGS
[0020] 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
25 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
7

electrical components, electronic components or circuitry commonly used to implement such components.
[0021] FIG. 1 illustrates an exemplary block diagram representation of 5th
5 generation core (5GC) network architecture.
[0022] FIG. 2 illustrates an exemplary block diagram of a system for determining a location of a user equipment (UE), in accordance with exemplary embodiments of the present disclosure. 10
[0023] FIG. 3 illustrates an exemplary method flow diagram indicating the process for determining a location of a user equipment (UE), in accordance with exemplary embodiments of the present disclosure.
15 [0024] FIG. 4 illustrates an exemplary block diagram of a computing device upon
which an embodiment of the present disclosure may be implemented, in accordance with exemplary embodiments of the present disclosure.
[0025] FIG. 5 illustrates an exemplary signalling flow diagram for determining a
20 location of a user equipment (UE), in accordance with exemplary embodiments of
the present disclosure.
[0026] The foregoing shall be more apparent from the following more detailed description of the disclosure. 25
DETAILED DESCRIPTION
[0027] In the following description, for the purposes of explanation, various
specific details are set forth in order to provide a thorough understanding of
30 embodiments of the present disclosure. It will be apparent, however, that
8

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
5 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.
10
[0028] 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.
15 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.
[0029] It should be noted that the terms "mobile device", "user equipment", "user
20 device", “communication device,” “device” and similar terms are used
interchangeably for the purpose of describing the disclosure. These terms are not
intended to limit the scope of the disclosure 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 disclosure is not limited to any
25 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 disclosure as defined herein.
[0030] Specific details are given in the following description to provide a thorough
30 understanding of the embodiments. However, it will be understood by one of
9

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
5 circuits, processes, algorithms, structures, and techniques may be shown without
unnecessary detail in order to avoid obscuring the embodiments.
[0031] 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
10 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.
15
[0032] 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
20 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—in a manner
25 similar to the term “comprising” as an open transition word—without precluding
any additional or other elements.
[0033] As used herein, an “electronic device,” or “portable electronic device,” or
“user device” or “communication device” or “user equipment” or “device” refers
30 to any electrical, electronic, electromechanical, and computing device. The user
10

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
5 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,
10 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.
[0034] Further, the user device may also comprise a “processor” or “processing
15 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,
20 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.
25 [0035] As used herein, “storage unit” or “memory unit” 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
30 types of machine-accessible storage media. The storage unit stores at least the data
11

that may be required by one or more units of the system to perform their respective functions.
[0036] As portable electronic devices and wireless technologies continue to
5 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
10 (2G), third generation (3G), fourth generation (4G), and now fifth generation (5G),
and more such generations are expected to continue in the forthcoming time.
[0037] Radio Access Technology (RAT) refers to the technology used by mobile devices/ user equipment (UE) to connect to a cellular network. It refers to the
15 specific protocol and standards that govern the way devices communicate with base
stations, which are responsible for providing the wireless connection. Further, each RAT has its own set of protocols and standards for communication, which define the frequency bands, modulation techniques, and other parameters used for transmitting and receiving data. Examples of RATs include GSM (Global System
20 for Mobile Communications), CDMA (Code Division Multiple Access), UMTS
(Universal Mobile Telecommunications System), LTE (Long-Term Evolution), and 5G. The choice of RAT depends on a variety of factors, including the network infrastructure, the available spectrum, and the mobile device's/device's capabilities. Mobile devices often support multiple RATs, allowing them to connect to different
25 types of networks and provide optimal performance based on the available network
resources.
[0038] As used herein new radio (NR) Cell Global Identifier (NCGI) values serve
as identifiers associated with specific cells within the radio access network (RAN)
30 of the User Equipment (UE). In the present disclosure the NCGI values are used as
part of the location determination process. When a location request is received by
12

the Location Management Function (LMF), it includes the NCGI value associated
with the RAN of the UE. The LMF then utilizes this NCGI value to determine the
target RAN vendor, configure cell details, and identify pre-configured techniques
for location determination. Essentially, the NCGI values help in uniquely
5 identifying and categorizing cells within the network, enabling the system to tailor
location determination methods based on the characteristics of the specific cell associated with the UE.
[0039] Also, Reference Signal Received Power (RSRP) is a fundamental metric in
10 wireless communication networks, particularly in LTE (Long-Term Evolution) and
5G systems, providing insight into the strength of signals received by user
equipment (UE) from nearby base stations or cell towers. Expressed in decibel-
milliwatts (dBm), RSRP quantifies the power level of reference signals relative to
1 milliwatt (mW). A higher RSRP value signifies a stronger received signal,
15 indicating better coverage and signal quality, while a lower value suggests weaker
signal strength and potentially inferior network performance for the UE.
[0040] Further, Reference Signal Received Quality (RSRQ) complements RSRP
by measuring the quality of the received signals. RSRQ evaluates the signal-to-
20 interference-plus-noise ratio (SINR) and provides an indication of the overall
quality of the received signal, incorporating factors such as interference and noise
levels. Both RSRP and RSRQ play critical roles in optimizing network performance
and ensuring reliable connectivity for users.
25 [0041] Also, New Radio (NR) represents the latest standard in wireless
communication technology, encompassing advancements and specifications for 5G networks. NR introduces innovations in terms of spectral efficiency, latency reduction, and increased capacity, aiming to meet the growing demands of modern wireless communication applications and services.
30
13

[0042] All modules, units, components used herein may be software modules
implemented via hardware module(s) (e.g. processor(s)) or hardware processors,
the processors being a general-purpose processor, a special purpose processor, a
conventional processor, a digital signal processor, a plurality of microprocessors,
5 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.
[0043] As discussed in the background section, the existing solutions for optimising
10 location determination of a UE based on an area type have several shortcomings
such as there is a lack of adaptability to different environmental conditions. Different area types, such as urban, suburban, or rural areas, pose distinct challenges to location determination. Failing to account for these variations can result in diminished performance and compromised accuracy. To overcome this
15 shortcoming, the present disclosure provides provisions for process or technique
selection based on the specific characteristics of each area type, ensuring the system's adaptability to diverse environmental conditions. Secondly, the present disclosure understands the importance of continuous optimization and location determining technique or location determining process refinement. Technology and
20 environmental conditions are subject to change over time, necessitating regular
updates and improvements. Without a framework for continuous monitoring, evaluation, and optimization of location determining techniques or location determining processes, a location determining system's accuracy may degrade over time as new challenges emerge or as technology advances. Incorporating
25 mechanisms for ongoing location determining technique or location determining
process evaluation and refinement is crucial to maintaining high location accuracy and keeping the location determining system up to date with evolving requirements and conditions.
14

[0044] The present disclosure aims to overcome the above-mentioned and other
existing problems in this field of wireless communication technology by disclosing
a novel approach on LMF (Location Measurement Framework), which
revolutionizes the calculation of User Equipment (UE) location based on area types.
5 By utilizing LMF, the novel solution logic adapts to different area types, including
dense urban, semi-urban, urban, and rural regions, effectively addressing the varying measurement values associated with each area. LMF achieves this by differentiating areas based on the cell configuration at the location. For instance, in rural areas, where the coverage of a single cell is more extensive compared to urban
10 areas, the corresponding measurement values such as RSRP (Reference Signal
Received Power), RSQR (Reference Signal Received Quality), and NR (New Radio) timing advance will exhibit variations. This innovative solution as disclosed in the present disclosure offers unprecedented accuracy and precision in determining UE location across diverse environments, making it a game-changer in
15 the field of location-based services and network optimization.
[0045] Hereinafter, exemplary embodiments of the present disclosure will be described with reference to the accompanying drawings.
20 [0046] FIG. 1 illustrates an exemplary block diagram representation of 5th
generation core (5GC) network architecture, in accordance with exemplary implementation of the present disclosure. As shown in FIG. 1, the 5GC network architecture [100] includes a user equipment (UE) [102], a radio access network (RAN) [104], an access and mobility management function (AMF) [106], a Session
25 Management Function (SMF) [108], a Service Communication Proxy (SCP) [110],
an Authentication Server Function (AUSF) [112], a Network Slice Specific Authentication and Authorization Function (NSSAAF) [114], a Network Slice Selection Function (NSSF) [116], a Network Exposure Function (NEF) [118], a Network Repository Function (NRF) [120], a Policy Control Function (PCF) [122],
30 a Unified Data Management (UDM) [124], an application function (AF) [126], a
15

User Plane Function (UPF) [128], a data network (DN) [130], wherein all the components are assumed to be connected to each other in a manner as obvious to the person skilled in the art for implementing features of the present disclosure.
5 [0047] Radio Access Network (RAN) [104] is the part of a mobile
telecommunications system that connects user equipment (UE) [102] to the core
network (CN) and provides access to different types of networks (e.g., 5G network).
It consists of radio base stations and the radio access technologies that enable
wireless communication.
10
[0048] Access and Mobility Management Function (AMF) [106] is a 5G core
network function responsible for managing access and mobility aspects, such as UE
registration, connection, and reachability. It also handles mobility management
procedures like handovers and paging.
15
[0049] Session Management Function (SMF) [108] is a 5G core network
function responsible for managing session-related aspects, such as establishing,
modifying, and releasing sessions. It coordinates with the User Plane Function
(UPF) for data forwarding and handles IP address allocation and QoS enforcement.
20
[0050] Service Communication Proxy (SCP) [110] is a network function in the
5G core network that facilitates communication between other network functions
by providing a secure and efficient messaging service. It acts as a mediator for
service-based interfaces.
25
[0051] Authentication Server Function (AUSF) [112] is a network function in
the 5G core responsible for authenticating UEs during registration and providing
security services. It generates and verifies authentication vectors and tokens.
30 [0052] Network Slice Specific Authentication and Authorization Function
(NSSAAF) [114] is a network function that provides authentication and
16

authorization services specific to network slices. It ensures that UEs can access only the slices for which they are authorized.
[0053] Network Slice Selection Function (NSSF) [116] is a network function
5 responsible for selecting the appropriate network slice for a UE based on factors
such as subscription, requested services, and network policies.
[0054] Network Exposure Function (NEF) [118] is a network function that
exposes capabilities and services of the 5G network to external applications,
10 enabling integration with third-party services and applications.
[0055] Network Repository Function (NRF) [120] is a network function that
acts as a central repository for information about available network functions and
services. It facilitates the discovery and dynamic registration of network functions.
15
[0056] Policy Control Function (PCF) [122] is a network function responsible
for policy control decisions, such as QoS, charging, and access control, based on
subscriber information and network policies.
20 [0057] Unified Data Management (UDM) [124] is a network function that
centralizes the management of subscriber data, including authentication, authorization, and subscription information.
[0058] Application Function (AF) [126] is a network function that represents
25 external applications interfacing with the 5G core network to access network
capabilities and services.
[0059] User Plane Function (UPF) [128] is a network function responsible for
handling user data traffic, including packet routing, forwarding, and QoS
30 enforcement.
17

[0060] Data Network (DN) [130] refers to a network that provides data services
to user equipment (UE) in a telecommunications system. The data services may include but are not limited to Internet services, private data network related services.
5 [0061] Referring to FIG. 2, an exemplary block diagram of a system [200] for
determining a location of a user equipment (UE) is shown, in accordance with the
exemplary embodiments of the present disclosure. The system [200] comprises at
least one transceiver unit [202], at least one determination unit [204], at least one
setup unit [206], at least one identification unit [208], at least one storage unit [210],
10 and at least one updating unit [212]. Also, all of the components/ units of the system
[200] are assumed to be connected to each other unless otherwise indicated below.
[0062] Further, in accordance with the present disclosure, it is to be acknowledged that the functionality described for the various the components/units can be
15 implemented interchangeably. While specific embodiments may disclose a
particular functionality of these units for clarity, it is recognized that various configurations and combinations thereof are within the scope of the disclosure. The functionality of specific units as disclosed in the disclosure should not be construed as limiting the scope of the present disclosure. Consequently, alternative
20 arrangements and substitutions of units, provided they achieve the intended
functionality described herein, are considered to be encompassed within the scope of the present disclosure.
[0063] The transceiver unit [202] includes a receiver and a transmitter and is
25 configured to receive and/or transmit signals/data. Mainly the transceiver unit [202]
is configured to receive signals from an Access and Mobility Management Function (AMF) and to communicate received signals to other unit(s) of the system [200] to carry out the solution as disclosed in the present disclosure.
30 [0064] The determination unit [204] may be a processor that is responsible for
making determinations or decisions based on received inputs. Mainly in the present
18

disclosure the determination unit [204] determines the target Radio Access Network (RAN) vendor from a set of pre-stored vendors based on the NR Cell Global Identifier (NCGI) value.
5 [0065] The setup unit [206] may be a processor that is responsible for configuring
settings or parameters based on received inputs. Mainly in the present disclosure the setup unit [206] configures a set of cell details, including an area type identifier associated with the target RAN vendor, based on the NCGI value.
10 [0066] The identification unit [208] may be a processor that is responsible for
identifying or retrieving information from a database based on received inputs. Mainly in the present disclosure the identification unit [208] identifies at least a target pre-configured technique from a set of pre-configured techniques associated with the area type identifier.
15
[0067] Also, as indicated in FIG. 2, the system [200] may comprise multiple such units or the system [200] may comprise any such numbers of said units, as required to implement the features of the present disclosure. Further, in an implementation, disclosure the system [200] may reside in or may be in connection with a server or
20 a network entity.
[0068] The system [200] is configured for determining a location of a user equipment (UE), with the help of the interconnection between the components/units of the system [200].
25
[0069] In order to determine the location of the user equipment (UE), the transceiver unit [202] of the system [200] is configured to receive, at a location management function (LMF) from an Access and Mobility Management Function (AMF), a location request of the UE, wherein the location request at least comprises
30 a New Radio (NR) Cell Global Identifier (NCGI) value associated with a Radio
19

Access Network (RAN) of the UE. Further, it is pertinent to note that the location management function (LMF) is crucial to the higher bandwidth networks such as 5G networks at least for determining a geographic position of a user equipment based on radio signals. 5
[0070] Further, mobility management is one of the major functions of a mobile network that allows mobile phones to work which is carried out by at least the AMF in the 5G mobile network. One of the aims of mobility management is to track where the subscribers are, allowing calls, SMS, and other mobile phone services to
10 be delivered to them. The next-generation radio access network (NG-RAN) and the
mobile device (also referred herein as the user equipment (UE)), provide measurements and assistance data to the LMF through the access and mobility management function (AMF) over an interface to determine the UE’s location. Further, NR Cell Global identifier (NCGI) is used to identify NR cells globally.
15
[0071] Further, the determination unit [204] of the system [200] is configured to determine, at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value. The RAN vendors, or Radio Access Network vendors, are companies that provide equipment, technology, and infrastructure for wireless
20 communication networks. The RAN vendor information can be pre-stored in
databases or repositories maintained by network operators or service providers. The target RAN vendor is determined based on the received NR Cell Global Identifier (NCGI) value associated with a particular radio access network (RAN) of the User Equipment (UE). The system compares the NCGI value with the pre-stored RAN
25 vendors to identify the specific vendor associated with the given NCGI. Further,
the NCGI value serves as an identifier for the UE's current RAN. It is used by the system to determine the target RAN vendor by comparing it with the pre-stored RAN vendors. Once the target RAN vendor is identified, the system proceeds to configure cell details and select pre-configured techniques based on this
30 information to determine the location of the UE effectively. If the comparison
20

between the received NCGI value and the pre-stored RAN vendors yields a match, the system retrieves the associated information, such as area type identifiers and pre-configured techniques, to further process the location determination request.
5 [0072] Further, the setup unit [206] of the system [200] is to configure, at the LMF,
a set of cell details based on the NCGI value, wherein the set of cell details comprises at least an area type identifier associated with the target RAN vendor. In the implementation of the present solution, the area type identifier is at least one of an urban area type identifier, and a rural area type identifier.
10
[0073] An exemplary set of cell details, configured by the setup unit [206] based on the NCGI value, is provided below. It may be noted that such set of details are only exemplary, and in no manner to be construed to limit the scope of the present subject matter in any manner. Any other set of cell details may also be configured
15 by the setup unit [206], and would lie within the scope of the present subject matter.

First digit Cell type Remediated Radius Rural Urban
0 1
2 Macro Outdoor Macro Band 850 Mhz 1800 Mhz 2300 Mhz

3500m 800m

2500m 500m

1500m 300m

250m
3 Outdoor 250m
4 Micro/Pico 250m
5 DAS Indoor 50m
6 Indoor 50m
7 Indoor 50m
21

8 Indoor 50m
9 Indoor 50m

50m
[0074] In an example, the first digit of this ID, as indicated in the table, helps
categorize the cell type, such as Macro, Outdoor, or Outdoor. The LMF also notes
5 the specific frequency band the cell operates on, which could be 850 MHz, 1800
MHz, or 2300 MHz, among others. Based on the cell type and frequency band, the
LMF assigns a pre-determined static radius for coverage. A Macro cell operating at
850 MHz in a rural area will have a coverage radius of 3500 meters. This static
radius ensures that the cell provides adequate coverage in its designated area,
10 whether it is a rural or urban setting. The LMF adjusts the radius based on whether
the cell is in a rural or an urban area. The first digit of the cell's ID, LMF may be identify if it will be of which area type.
[0075] Further, the set of cell details comprises of at least one of a Next Generation
15 Node B (gNB) Identifier, a cell identifier, a Mobile Country Code (MCC), a Mobile
Network Code (MNC), a cell latitude identifier, a cell longitude identifier, and a
cell radius identifier. Further, upon receiving a location request, the system
identifies the RAN vendor based on the NCGI value provided by the UE. It
configures cell details tailored to the vendor's specifications, including identifiers
20 like gNB, MCC, MNC, and cell coordinates. Additionally, it categorizes the area
as urban or rural to optimize location determination techniques. This ensures accurate location tracking, adjusting for environmental factors such as population density and signal interference.
25 [0076] An exemplary table, based on which the RAN vendor may be identified is
provided below.
22

Cell Mobile Mobile eNodeB Cell Base Base
name Country Network ID Identity Station Station
Code Code (Ci) Latitude Longitude
(MCC) (MNC) (bslat) (bslon)
M M M M M M M
[0077] In an example, the table provided lists several attributes necessary for
configuring a cell within the Location Management Function (LMF). These
attributes include the cell name, Mobile Country Code (MCC), Mobile Network
5 Code (MNC), eNodeB Identifier (eNodeB ID), Cell Identity (CI), Base Station
Latitude (bslat), and Base Station Longitude (bslon). Each of these fields is marked with "M," indicating that they are mandatory for the configuration process.
[0078] In a 5G network, each cell is uniquely identified by its NR Cell Global
10 Identity (NCGI). The NCGI is composed of the Public Land Mobile Network
(PLMN) Identifier, which includes the MCC and MNC, as well as the NR Cell Identity. The NR Cell Identity itself is typically derived from the eNodeB ID and CI in LTE networks. This unique identifier ensures that each cell can be distinctly recognized and managed within the network. 15
[0079] To configure a cell at the LMF, one must first collect all necessary details.
This includes assigning a unique name to the cell and specifying the MCC and MNC
to identify the country and network operator. The eNodeB ID and CI are then
provided to create a unique cell identifier within the network. Additionally, the
20 latitude and longitude of the base station must be accurately recorded to ensure
precise location management.
[0080] Once all required information is collected, it is entered into the LMF system.
Care must be taken to ensure that the NCGI value is correctly constructed using the
25 MCC, MNC, eNodeB ID, and CI. Finally, with all details verified and entered, the
23

cell configuration is activated within the LMF. This activation process allows the LMF to utilize the cell information for various location-based services and ensures that all cells are efficiently managed within the network.
5 [0081] Further, the identification unit [208] of the system [200] is configured to
identify, at the LMF from a database, at least a target pre-configured technique from
a set of pre-configured techniques associated with the area type identifier. In the
implementation of the present solution, the target pre-configured technique from a
set of pre-configured techniques is identified based on the at least one of the urban
10 area types identifiers, and the rural area type identifier configured at the LMF.
[0082] Further, the target pre-configured technique from a set of pre-configured techniques based on the at least one of the urban area type identifiers may distinguish the urban area type into one or more sub-categories for enhancing
15 determination of a location of UE, wherein the sub-categories may be a dense urban
area, a semi urban area and a sparse urban area. The pre-configured techniques include at least one of signal strength-based methods, Wi-Fi positioning, cellular network positioning, or assisted GPS (A-GPS) techniques. Further, the target pre-configured technique may continuously receive inputs from regulatory authorities
20 and update the categories of the area type.
[0083] Further, the determination unit [204] of the system [200] is configured to determine, the location of the UE associated with the location request based on at least the target pre-configured technique. 25
[0084] For example, the LMF employs a set of pre-configured techniques to determine the location of a UE. These techniques are categorized into high, medium, and low accuracy methods.
24

[0085] The high accuracy method is used when the required accuracy is up to 10
meters. It involves techniques such as Assisted Global Positioning System (AGPS)
and Angle of Arrival (AoA). When a high accuracy request is received, the LMF
understands that precise location measurement is needed and initiates these
5 methods accordingly.
[0086] The medium accuracy method is suitable for general use cases where
accuracy requirements are less stringent. It may involve methods such as Cell-ID
or Enhanced Cell-ID, providing a balance between accuracy and resource
10 utilization.
[0087] The Low Accuracy method is employed when broad location estimation is sufficient. The techniques such as Timing Advance (TA) may be used, which provide an approximate location based on the distance from the serving cell.
15
[0088] Upon receiving a location request, the LMF determines the required accuracy level based on the parameters specified in the request. For example, a parameter indicating "10" might signify a high accuracy requirement. The LMF then selects the appropriate pre-configured technique to meet this requirement. So,
20 depending on the chosen technique, the LMF interacts with the Radio Access
Network (RAN) and the UE to obtain necessary measurements.
[0089] Referring to FIG. 3, an exemplary method flow diagram [300], for determining a location of a user equipment (UE), in accordance with exemplary
25 embodiments of the present disclosure is shown. In an implementation the method
[300] is performed by the system [200]. Further, in an implementation, the system [200] may be present in a server device or at a network end to implement the features of the present disclosure Also, as shown in FIG. 3, the method [300] starts at step [302].
30
25

[0090] At step [304], the method [300] as disclosed by the present disclosure
comprises receiving, by a transceiver unit [202] at a Location management function
(LMF) from an Access and Mobility Management Function (AMF), a location
request of the UE, wherein the location request at least comprises a New radio (NR)
5 Cell Global Identifier (NCGI) value associated with a Radio Access Network
(RAN) of the UE. Further, it is pertinent to note that the location management function (LMF) is crucial to the higher bandwidth networks such as 5G networks at least for determining a geographic position of a user equipment based on radio signals.
10
[0091] Further, mobility management is one of the major functions of a mobile network that allows mobile phones to work which is carried out by at least the AMF in the 5G mobile network. One of the aims of mobility management is to track where the subscribers are, allowing calls, SMS, and other mobile phone services to
15 be delivered to them. The next-generation radio access network (NG-RAN) and the
mobile device (also referred herein as the user equipment (UE)), provide measurements and assistance data to the LMF through the access and mobility management function (AMF) over an interface to determine the UE’s location. Further, NR Cell Global identifier (NCGI) is used to identify NR cells globally.
20
[0092] At step [306], the method [300] as disclosed by the present disclosure comprises determining, by the determination unit [103] at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value. The RAN vendors, or Radio Access Network vendors, are companies that provide equipment,
25 technology, and infrastructure for wireless communication networks. The RAN
vendor information can be pre-stored in databases or repositories maintained by network operators or service providers. The target RAN vendor is determined based on the received NR Cell Global Identifier (NCGI) value associated with a particular radio access network (RAN) of the User Equipment (UE). The system compares
30 the NCGI value with the pre-stored RAN vendors to identify the specific vendor
26

associated with the given NCGI. Further, The NCGI value serves as an identifier
for the UE's current RAN. It is used by the system to determine the target RAN
vendor by comparing it with the pre-stored RAN vendors. Once the target RAN
vendor is identified, the system proceeds to configure cell details and select pre-
5 configured techniques based on this information to determine the location of the
UE effectively. If the comparison between the received NCGI value and the pre-
stored RAN vendors yields a match, the system retrieves the associated information,
such as area type identifiers and pre-configured techniques, to further process the
location determination request.
10
[0093] At step [308], the method [300] as disclosed by the present disclosure comprises configuring, by the setup unit [206] at the LMF, a set of cell details based on the NCGI value, wherein the set of cell details comprises at least an area type identifier associated with the target RAN vendor. In the implementation of the
15 present solution, the area type identifier is at least one of an urban area type
identifier, and a rural area type identifier.
[0094] An exemplary set of cell details, configured by the setup unit [206] based
on the NCGI value, is provided below. It may be noted that such set of details are
20 only exemplary, and in no manner to be construed to limit the scope of the present
subject matter in any manner. Any other set of cell details may also be configured by the setup unit [206], and would lie within the scope of the present subject matter.

First digit Cell type Remediated Radius Rural Urban
0 1 Macro Macro Band 850 Mhz 1800 Mhz 2300 Mhz

3500m 800m

2500m 500m

1500m 300m

27

2 Outdoor 250m
3 Outdoor 250m
4 Micro/Pico 250m
5 DAS Indoor 50m
6 Indoor 50m
7 Indoor 50m
8 Indoor 50m
9 Indoor 50m

50m
[0095] In an example, the first digit of this ID, as indicated in the table, helps
categorize the cell type, such as Macro, Outdoor, or Outdoor. The LMF also notes
5 the specific frequency band the cell operates on, which could be 850 MHz, 1800
MHz, or 2300 MHz, among others. Based on the cell type and frequency band, the
LMF assigns a pre-determined static radius for coverage. A Macro cell operating at
850 MHz in a rural area will have a coverage radius of 3500 meters. This static
radius ensures that the cell provides adequate coverage in its designated area,
10 whether it is a rural or urban setting. The LMF adjusts the radius based on whether
the cell is in a rural or an urban area. The first digit of the cell's ID, LMF may be identify if it will be of which area type.
[0096] Further, the set of cell details comprises of at least one of a Next Generation
15 Node B (gNB) Identifier, a cell identifier, a Mobile Country Code (MCC), a Mobile
Network Code (MNC), a cell latitude identifier, a cell longitude identifier, and a
cell radius identifier. Further, upon receiving a location request, the system
identifies the RAN vendor based on the NCGI value provided by the UE. It
configures cell details tailored to the vendor's specifications, including identifiers
20 like gNB, MCC, MNC, and cell coordinates. Additionally, it categorizes the area
as urban or rural to optimize location determination techniques. This ensures
28

accurate location tracking, adjusting for environmental factors such as population density and signal interference.
[0097] An exemplary table based on which the RAN vendor may be identified is
5 provided below.

Cell Mobile Mobile eNodeB Cell Base Base
name Country Network ID Identity Station Station
Code Code (Ci) Latitude Longitude
(MCC) (MNC) (bslat) (bslon)
M M M M M M M
[0098] In an example, the table provided lists several attributes necessary for
configuring a cell within the Location Management Function (LMF). These
10 attributes include the cell name, Mobile Country Code (MCC), Mobile Network
Code (MNC), eNodeB Identifier (eNodeB ID), Cell Identity (CI), Base Station Latitude (bslat), and Base Station Longitude (bslon). Each of these fields is marked with "M," indicating that they are mandatory for the configuration process.
15 [0099] In a 5G network, each cell is uniquely identified by its NR Cell Global
Identity (NCGI). The NCGI is composed of the Public Land Mobile Network (PLMN) Identifier, which includes the MCC and MNC, as well as the NR Cell Identity. The NR Cell Identity itself is typically derived from the eNodeB ID and CI in LTE networks. This unique identifier ensures that each cell can be distinctly
20 recognized and managed within the network.
[0100] To configure a cell at the LMF, one must first collect all necessary details.
This includes assigning a unique name to the cell and specifying the MCC and MNC
to identify the country and network operator. The eNodeB ID and CI are then
25 provided to create a unique cell identifier within the network. Additionally, the
29

latitude and longitude of the base station must be accurately recorded to ensure precise location management.
[0101] Once all required information is collected, it is entered into the LMF system.
5 Care must be taken to ensure that the NCGI value is correctly constructed using the
MCC, MNC, eNodeB ID, and CI. Finally, with all details verified and entered, the cell configuration is activated within the LMF. This activation process allows the LMF to utilize the cell information for various location-based services and ensures that all cells are efficiently managed within the network.
10
[0102] At step [310], the method [300] as disclosed by the present disclosure comprises identifying, by the identification unit [208] at the LMF from a database, at least a target pre-configured technique from a set of pre-configured techniques associated with the area type identifier. In the implementation of the present
15 solution, the target pre-configured technique from a set of pre-configured
techniques is identified based on the at least one of the urban area type identifiers, and the rural area type identifier configured at the LMF.
[0103] Further, the target pre-configured technique from a set of pre-configured
20 techniques based on the at least one of the urban area type identifiers may
distinguish the urban area type into one or more sub-categories for enhancing
determination of a location of UE, wherein the sub-categories may be a dense urban
area, a semi urban area and a sparse urban area. The pre-configured techniques
include at least one of signal strength-based methods, Wi-Fi positioning, cellular
25 network positioning, or assisted GPS (A-GPS) techniques. Further, the target pre-
configured technique may continuously receive inputs from regulatory authorities and update the categories of the area type.
[0104] At step [312], the method [300] as disclosed by the present disclosure
30 comprises determining, by the determination unit [204], the location of the UE
30

associated with the location request based on at least the target pre-configured technique.
[0105] For example, the LMF employs a set of pre-configured techniques to
5 determine the location of a UE. These techniques are categorized into high,
medium, and low accuracy methods.
[0106] The high accuracy method is used when the required accuracy is up to 10
meters. It involves techniques such as Assisted Global Positioning System (AGPS)
10 and Angle of Arrival (AoA). When a high accuracy request is received, the LMF
understands that precise location measurement is needed and initiates these methods accordingly.
[0107] The medium accuracy method is suitable for general use cases where
15 accuracy requirements are less stringent. It may involve methods such as Cell-ID
or Enhanced Cell-ID, providing a balance between accuracy and resource utilization.
[0108] The Low Accuracy method is employed when broad location estimation is
20 sufficient. The techniques such as Timing Advance (TA) may be used, which
provide an approximate location based on the distance from the serving cell.
[0109] Upon receiving a location request, the LMF determines the required
accuracy level based on the parameters specified in the request. For example, a
25 parameter indicating "10" might signify a high accuracy requirement. The LMF
then selects the appropriate pre-configured technique to meet this requirement. So, depending on the chosen technique, the LMF interacts with the Radio Access Network (RAN) and the UE to obtain necessary measurements.
30 [0110] Thereafter, the method terminates at step [314].
31

[0111] Further, in an implementation of the present solution, it is important to note
that the area types defined for a particular cell, such as urban area, city area, or any
other categorization, may vary based on regional or contextual factors. The specific
5 area types mentioned in this patent specification, including urban area and city area,
are provided for illustrative purposes only and should not be interpreted as an
exhaustive or universally applicable list of area types. The choice and definition of
area types may depend on various considerations, such as geographical location,
population density, infrastructure characteristics, and other relevant factors.
10 Therefore, it should be understood that the use of specific area types mentioned
herein is not intended to limit the scope of the present solution, and other area types may be employed based on specific implementation requirements or local considerations.
15 [0112] Referring to FIG. 4, an exemplary block diagram of a computing device
[400] is shown, upon which an embodiment of the present disclosure may be implemented. In an implementation, the computing device [400] implements the method [300] for managing one or more supplementary services in a multi-network environment by utilising the system [200]. In another implementation, the
20 computing device [400] itself implements the method [300] for determining a
location of a user equipment (UE) using one or more units configured within the computing device [400], wherein said one or more units are capable of implementing the features as disclosed in the present disclosure.
25 [0113] The computing device [400] may include a bus [402] or other
communication mechanism for communicating information, and a hardware
processor [404] coupled with bus [402] for processing information. The hardware
processor [404] may be, for example, a general-purpose microprocessor. The
computing device [400] may also include a main memory [406], such as a random-
30 access memory (RAM), or other dynamic storage device, coupled to the bus [402]
32

for storing information and instructions to be executed by the processor [404]. The
main memory [406] also may be used for storing temporary variables or other
intermediate information during execution of the instructions to be executed by the
processor [404]. Such instructions, when stored in non-transitory storage media
5 accessible to the processor [404], render the computing device [400] into a special-
purpose machine that is customized to perform the operations specified in the instructions. The computing device [400] further includes a read only memory (ROM) [408] or other static storage device coupled to the bus [402] for storing static information and instructions for the processor [404].
10
[0114] A storage device [410], such as a magnetic disk, optical disk, or solid-state drive is provided and coupled to the bus [402] for storing information and instructions. The computing device [400] may be coupled via the bus [402] to a display [412], such as a cathode ray tube (CRT), for displaying information to a
15 computer user. An input device [414], including alphanumeric and other keys, may
be coupled to the bus [402] for communicating information and command selections to the processor [404]. Another type of user input device may be a cursor controller [416], such as a mouse, a trackball, or cursor direction keys, for communicating direction information and command selections to the processor
20 [404], and for controlling cursor movement on the display [412]. This input device
typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allow the device to specify positions in a plane.
[0115] The computing device [400] may implement the techniques described
25 herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware,
and/or program logic which in combination with the computing device [400] causes
or programs the computing device [400] to be a special-purpose machine.
According to one embodiment, the techniques herein are performed by the
computing device [400] in response to the processor [404] executing one or more
30 sequences of one or more instructions contained in the main memory [406]. Such
33

instructions may be read into the main memory [406] from another storage medium,
such as the storage device [410]. Execution of the sequences of instructions
contained in the main memory [406] causes the processor [404] to perform the
process steps described herein. In alternative embodiments, hard-wired circuitry
5 may be used in place of or in combination with software instructions.
[0116] The computing device [400] also may include a communication interface [428] coupled to the bus [402]. The communication interface [428] provides a two-way data communication coupling to a network link [420] that is connected to a
10 local network [422]. For example, the communication interface [428] may be an
integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, the communication interface [428] may be a local area network (LAN) card to provide a data communication connection to a
15 compatible LAN. Wireless links may also be implemented. In any such
implementation, the communication interface [428] sends and receives electrical, electromagnetic, or optical signals that carry digital data streams representing various types of information.
20 [0117] The computing device [400] can send messages and receive data, including
program code, through the network(s), the network link [420] and the communication interface [428]. In the Internet example, a server [430] might transmit a requested code for an application program through the Internet [428], the ISP [426], the host [424], the local network [422] and the communication interface
25 [428]. The received code may be executed by the processor [404] as it is received,
and/or stored in the storage device [410], or other non-volatile storage for later execution.
34

[0118] Referring to FIG. 5, an exemplary signalling flow diagram for determining a location of a user equipment (UE), in accordance with exemplary embodiments of the present disclosure is shown.
5 [0119] A request to determine location request is sent from AMF to LMF. The LMF
will have preconfigured details. The call details will contain gNB ID, CELL ID,
MCC, MNC, Cell Lab, Cell Long, Cell Radius and Area Type. Based on area type,
LMF will use different positioning algorithm. If they are type is urban, the LMF
will use formula for urban area to calculate UE locations and if the area type is
10 rural, the LMF will use formula for Rural area to calculate UE location.
[0120] Another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instruction for determining a location of a user equipment (UE). The storage medium comprising executable code which,
15 when executed cause a transceiver unit [202] of the system [200] to receive, at a
Location management function (LMF) from an Access and Mobility Management Function (AMF), a location request of the UE, wherein the location request at least comprises a NR Cell Global Identifier (NCGI) value associated with a radio access network (RAN) of the UE. Further, the instructions include executable code, which
20 when executed causes a determination unit [204] of the system [200] to determine,
at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value. Further, the instructions include executable code, which when executed causes a setup unit [206] of the system [200] to configure, at the LMF, a set of cell details based on the value, wherein the set of cell details comprises at
25 least an area type identifier associated with the target RAN vendor. Also, the
instructions include executable code, which when executed causes an identification unit [208] of the system [200] to identify, at the LMF from a database, at least a target pre-configured technique from a set of pre-configured techniques associated with the area type identifier. Further, instructions include executable code, which
30 when executed causes the determination unit [204] of the system [200] to
35

determine, the location of the UE associated with the location request based on at least the target pre-configured technique.
[0121] As is evident from the above, the present disclosure provides a technically
5 advanced solution for optimising location determination of a UE based on an area
type. The technical advancement proposed in this patent specification lies in the evolution of the LMF (Location Measurement Framework) technique, which takes into account different area types to enhance its performance. At the core of this advancement is the pre-definition of area types within the LMF system, allowing
10 for tailored calculations and optimizations based on specific environments. By
considering area types, the solution can effectively adapt and refine its techniques to accommodate the varying measurement values associated with each area. Neglecting to consider area types would result in a reduction in location accuracy, as the measurements would not accurately reflect the characteristics of the given
15 environment. This technical advancement ensures that the LMF remains robust and
accurate across different area types, paving the way for improved location-based services and network optimization.
[0122] While considerable emphasis has been placed herein on the disclosed
20 embodiments, it will be appreciated that many embodiments can be made and that
many changes can be made to the embodiments without departing from the
principles of the present disclosure. These and other changes in the embodiments
of the present disclosure will be apparent to those skilled in the art, whereby it is to
be understood that the foregoing descriptive matter to be implemented is illustrative
25 and non-limiting.
[0123] Further, in accordance with the present disclosure, it is to be acknowledged
that the functionality described for the various components/units can be
implemented interchangeably. While specific embodiments may disclose a
30 particular functionality of these units for clarity, it is recognized that various
36

configurations and combinations thereof are within the scope of the disclosure. The
functionality of specific units as disclosed in the disclosure should not be construed
as limiting the scope of the present disclosure. Consequently, alternative
arrangements and substitutions of units, provided they achieve the intended
5 functionality described herein, are considered to be encompassed within the scope
of the present disclosure.
37

We Claim:
1. A method [300] for determining a location of a user equipment (UE), the
method [300] comprising:
- receiving [304], by a transceiver unit [202], at a Location management function (LMF) from an Access and Mobility Management Function (AMF) [106], a location request of the UE, wherein the location request at least comprises a new radio (NR) Cell Global Identifier (NCGI) value associated with a radio access network (RAN) of the UE;
- determining [306], by a determination unit [204] at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value;
- configuring [308], by a setup unit [206] at the LMF, a set of cell details based on the NCGI value, wherein the set of cell details comprises at least an area type identifier associated with the target RAN vendor;
- identifying [310], by an identification unit [208] at the LMF from a database, at least a target pre-configured technique from a set of pre-configured techniques associated with the area type identifier; and
- determining [312], by the determination unit [204], the location of the UE associated with the location request based on at least the target pre-configured technique.

2. The method [300] as claimed in claim 1, wherein the set of cell details further comprises at least one of a Next Generation Node B (gNB) Identifier, a cell identifier, a Mobile Country Code (MCC), a Mobile Network Code (MNC), a cell latitude identifier, a cell longitude identifier, and a cell radius identifier.
3. The method [300] as claimed in claim 1, wherein the area type identifier is at least one of an urban area type identifier, and a rural area type identifier.

4. The method [300] as claimed in claim 3, the target pre-configured technique from the set of pre-configured techniques is identified based on the at least one of the urban area type identifier, and the rural area type identifier configured at the LMF.
5. The method [300] as claimed in claim 4, wherein the pre-configured techniques include at least one of signal strength-based methods, Wi-Fi positioning, cellular network positioning, or assisted GPS (A-GPS) techniques.
6. The method [300] as claimed in claim 1, wherein the target pre-configured technique continuously receives inputs from regulatory authorities and update a categories of the area type.
7. The method [300] as claimed in claim 1, updating by an updating unit [212], the database within the LMF to reflect a modified set of pre-configured techniques.
8. A system [200] for determining a location of a user equipment (UE), the system comprises:

- a transceiver unit [202], wherein the transceiver unit [202] is configured to receive, at a Location management function (LMF) from an Access and Mobility Management Function (AMF), a location request of the UE, wherein the location request at least comprises a new radio (NR) Cell Global Identifier (NCGI) value associated with a radio access network (RAN) of the UE;
- a determination unit [204], connected to the transceiver unit [202], wherein the determination unit [204] configured to determine at the LMF, a target RAN vendor from a set of pre-stored RAN vendors based on the NCGI value;

- a setup unit [206], connected to the determination unit [204], wherein the setup unit [206], is configured to configure, at the LMF, a set of cell details based on the NCGI value, wherein the set of cell details comprises at least an area type identifier associated with the target RAN vendor; and
- an identification unit [208], connected to the setup unit [206], wherein the identification unit [208], configured to identify at the LMF from a database, at least a target pre-configured technique from a set of pre-configured techniques associated with the area type identifier; and
- the determination unit [204] configured to determine the location of the UE associated with the location request based on at least the target pre-configured technique.

9. The system [200] as claimed in claim 8, wherein the set of cell details further comprises at least one of a Next Generation Node B (gNB) Identifier, a cell identifier, a Mobile Country Code (MCC), a Mobile Network Code (MNC), a cell latitude identifier, a cell longitude identifier, and a cell radius identifier.
10. The system [200] as claimed in claim 8, wherein the area type identifier is at least one of an urban area type identifier, and a rural area type identifier.
11. The system [200] as claimed in claim 10, the target pre-configured technique from the set of pre-configured techniques is identified based on the at least one of the urban area type identifier, and the rural area type identifier configured at the LMF.
12. The system [200] as claimed in claim 8, wherein the pre-configured techniques include at least one of signal strength-based methods, Wi-Fi positioning, cellular network positioning, or assisted GPS (A-GPS) techniques.

13. The system [200] as claimed in claim 8, the target pre-configured technique continuously receives inputs from regulatory authorities and update a categories of the area type.
14. The system [200] as claimed in claim 8, further comprising an updating unit [212] configured to update the database within the LMF to reflect a modified set of pre-configured techniques.