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 PROVIDING A SHAPE-BASED LOCATION RESPONSE”
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 PROVIDING A SHAPE-BASED LOCATION RESPONSE
FIELD OF INVENTION
[0001] Embodiments of the present disclosure relate generally to the field of wireless communication systems. More particularly, embodiments of the present disclosure relate to a method and system for providing a shape-based location response.
BACKGROUND
[0002] The following description of the 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 is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the 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] Generally, Gateway Mobile Location Center (GMLC) plays a critical role in location-based services, assists in determining the geographical location of user equipment (UE) for purposes such as emergency services, commercial applications, and network optimization. However, one limitation in existing networks is the lack of flexibility for the clients (i.e., entities requesting location information) to define customizable geographical regions for location retrieval. Conventionally, GMLC offers predefined shapes for representing geographical areas based on the current standard format provided by Access and Mobility Management Function (AMF), which may not always align with the specific accuracy or granularity requirements of the requesting client.
[0005] For example, in certain location-based services or applications, clients may require highly precise location information within specific geographic boundaries to optimize service delivery or meet regulatory requirements. Conversely, other applications may prioritize broader, less precise geographical areas to optimize network efficiency.
[0006] Further, over the period of time, various solutions have been developed to provide different geographical regions for different clients based on the requirement. However, there are certain challenges with existing solutions.
[0007] Thus, there exists an imperative need in the art to provide customizable shapes to represent geographical area for location retrieval based on the required accuracy of a client, which the present disclosure aims to address.
SUMMARY

[0008] 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.
[0009] An aspect of the present disclosure may relate to a method for providing a shape-based location response. The method comprises receiving, by a transceiver unit, a location request from one or more clients. The method further comprises identifying, by an identification unit, an accuracy level for the received location request. The method further comprises transmitting, by the transceiver unit, the location request to an Access and Mobility Management Function (AMF). The method further comprises receiving, by the transceiver unit, a location response from the AMF in response to the location request, wherein the location response comprises of a pre-defined shape for geometric area description (GAD). The method further comprises converting, by a converter unit, the pre-defined shape for the GAD into a customizable shape based on the identified accuracy level.
[0010] In an exemplary aspect of the present disclosure, the method further comprises storing, by a storage unit, the identified accuracy level.
[0011] In an exemplary aspect of the present disclosure, the one or more clients are one of a location information manager (LIM) and a location-based service provider (LBSP).
[0012] In an exemplary aspect of the present disclosure, the accuracy level is one of a high accuracy level, a medium accuracy level, and a low accuracy level.
[0013] In an exemplary aspect of the present disclosure, the pre-defined shape for the GAD is converted to a customizable circular shape for the high accuracy level.

[0014] In an exemplary aspect of the present disclosure, the pre-defined shape for the GAD is converted to a customizable arc shape for the medium accuracy level.
[0015] In an exemplary aspect of the present disclosure, the pre-defined shape for the GAD is converted to a customizable elliptical shape for the low accuracy level.
[0016] In an exemplary aspect of the present disclosure, the AMF is connected to the transceiver unit via an NL2 interface.
[0017] Another aspect of the present disclosure may relate to a system for providing a shape-based location response. The system may include a transceiver unit. The transceiver unit may be configured to receive a location request from one or more clients. The system may further include an identification unit connected at least to the transceiver unit. The identification unit may be configured to identify an accuracy level for the received location request. The transceiver unit may be further configured to transmit the location request to an access and mobility management function (AMF). The transceiver unit may be furthermore configured to receive a location response from the AMF in response to the location request, wherein the location response comprises of a pre-defined shape for geometric area description (GAD). The system further comprises a converter unit connected to at least the transceiver unit and the identification unit. The converter unit may be configured to convert the pre-defined shape for the GAD into a customizable shape based on the identified accuracy level.
[0018] Yet another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instructions for providing a shape-based location response. The instructions include executable code which, when executed by one or more units of a system, causes a transceiver unit of the system to receive a location request from one or more clients. Further, the instructions include executable code which, when executed, causes an identification unit to identify an accuracy level for the received location request. Further, the instructions include

executable code which, when executed, causes the transceiver unit to transmit the location request to an access and mobility management function (AMF). Further, the instructions include executable code which, when executed, causes the transceiver unit to receive a location response from the AMF in response to the location request, wherein the location response comprises of a pre-defined shape for geometric area description (GAD). Further, the instructions include executable code which, when executed, causes a converter unit to convert the pre-defined shape for the GAD into a customizable shape based on the identified accuracy level.
OBJECTS OF THE DISCLOSURE
[0019] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.
[0020] It is an object of the present disclosure to provide a system and a method for providing a shape-based location response.
[0021] It is another object of the present disclosure to provide a system and a method to provide different customizable shapes to represent geographical area for location retrieval of a UE based on the required accuracy of a client.
[0022] It is yet another object of the present disclosure to provide a solution that enables GMLC to determine the accuracy requirement of the client and accordingly provide shape-based positioning location.
DESCRIPTION OF THE DRAWINGS
[0023] 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. Also, the embodiments shown in the figures are not to be construed as
limiting the disclosure, but the possible variants of the method and system
according to the disclosure are illustrated herein to highlight the advantages of the
5 disclosure. It will be appreciated by those skilled in the art that disclosure of such
drawings includes disclosure of electrical components or circuitry commonly used to implement such components.
[0024] FIG. 1 illustrates an exemplary block diagram representation of 5th
10 generation core (5GC) network architecture;
[0025] FIG. 2 illustrates an exemplary block diagram of a computing device upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure; 15
[0026] FIG. 3 illustrates an exemplary block diagram of a system for providing a shape-based location response, in accordance with exemplary implementations of the present disclosure;
20 [0027] FIG. 4 illustrates a system architecture diagram for providing a shape-based
location response, in accordance with exemplary implementations of the present disclosure; and
[0028] FIG. 5 illustrates a method flow diagram for providing a shape-based
25 location response, in accordance with exemplary implementations of the present
disclosure.
[0029] The foregoing shall be more apparent from the following more detailed description of the disclosure. 30
DETAILED DESCRIPTION
7

[0030] 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
5 embodiments of the present disclosure may be practiced without these specific
details. Several features described hereafter may 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.
10
[0031] 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.
[0032] Specific details are given in the following description to provide a thorough
20 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, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. 25
[0033] Also, it is noted that individual embodiments may be described as a process
which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure
diagram, or a block diagram. Although a flowchart may describe the operations as
a sequential process, many of the operations may be performed in parallel or
30 concurrently. In addition, the order of the operations may be re-arranged. A process
8

is terminated when its operations are completed but could have additional steps not included in a figure.
[0034] The word “exemplary” and/or “demonstrative” is used herein to mean
5 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
10 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 similar to the term “comprising” as an open transition word—without precluding any additional or other elements.
15
[0035] As used herein, a “processing unit” or “processor” or “operating processor” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality
20 of microprocessors, one or more microprocessors in association with a Digital
Signal Processing (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
25 the system according to the present disclosure. More specifically, the processor or
processing unit is a hardware processor.
[0036] As used herein, “a user equipment”, “a user device”, “a smart-user-device”,
“a smart-device”, “an electronic device”, “a mobile device”, “a handheld device”,
30 “a wireless communication device”, “a mobile communication device”, “a
communication device” may be any electrical, electronic and/or computing device
9

or equipment, capable of implementing the features of the present disclosure. The
user equipment/device may include, but is not limited to, a mobile phone, smart
phone, laptop, a general-purpose computer, desktop, personal digital assistant,
tablet computer, wearable device or any other computing device which is capable
5 of implementing the features of the present disclosure. Also, the user device may
contain at least one input means configured to receive an input from unit(s) which are required to implement the features of the present disclosure.
[0037] As used herein, “storage unit” or “memory unit” refers to a machine or
10 computer-readable medium including any mechanism for storing information in a
form readable by a computer or similar machine. For example, a computer-readable
medium includes read-only memory (“ROM”), random access memory (“RAM”),
magnetic disk storage media, optical storage media, flash memory devices or other
types of machine-accessible storage media. The storage unit stores at least the data
15 that may be required by one or more units of the system to perform their respective
functions.
[0038] As used herein “interface” or “user interface refers to a shared boundary
across which two or more separate components of a system exchange information
20 or data. The interface may also be referred to a set of rules or protocols that define
communication or interaction of one or more modules or one or more units with each other, which also includes the methods, functions, or procedures that may be called.
25 [0039] All modules, units, components used herein, unless explicitly excluded
herein, may be software modules or hardware processors, the processors being a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller,
30 Application Specific Integrated Circuits (ASIC), Field Programmable Gate Array
circuits (FPGA), any other type of integrated circuits, etc.
10

[0040] As used herein the transceiver unit include at least one receiver and at least
one transmitter configured respectively for receiving and transmitting data, signals,
information or a combination thereof between units/components within the system
5 and/or connected with the system.
[0041] As discussed in the background section, the current known solutions have
several shortcomings. The present disclosure aims to overcome the above-
mentioned and other existing problems in this field of technology by providing
10 method and system of providing a shape-based location response.
[0042] The approaches of the present subject matter further enables a client to
define the geographical region based on required accuracy. Thereafter,
customizable shapes can be configured to mark the geographical region for location
15 retrieval based on the required accuracy.
[0043] Hereinafter, exemplary embodiments of the present disclosure will be described with reference to the accompanying drawings.
20 [0044] 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
User Plane Function (UPF) [128], a data network (DN) [130], wherein all the
11

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.
[0045] Radio Access Network (RAN) [104] is the part of a mobile
5 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 [0046] 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 [0047] 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 [0048] 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 [0049] 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.
[0050] Network Slice Specific Authentication and Authorization Function
30 (NSSAAF) [114] is a network function that provides authentication and
12

authorization services specific to network slices. It ensures that UEs can access only the slices for which they are authorized.
[0051] 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.
[0052] 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.
[0053] 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
[0054] 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 [0055] Unified Data Management (UDM) [124] is a network function that
centralizes the management of subscriber data, including authentication, authorization, and subscription information.
[0056] 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.
[0057] User Plane Function (UPF) [128] is a network function responsible for
handling user data traffic, including packet routing, forwarding, and QoS
30 enforcement.
13

[0058] 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 [0059] Location Management Function (LMF) [132] is a network function in the
5G core responsible for managing the location information of user equipment (UE). It coordinates with other network functions to determine and provide the geographic location of a UE.
10 [0060] Gateway Mobile Location Centre (GMLC) [134] is a network node that
provides the functionality required to support location-based services (LBS). The GMLC [134] may be responsible for processing location related data. It acts as midway between the clients [401] requesting location data and the components that provide such data.
15
[0061] FIG. 2 illustrates an exemplary block diagram of a computing device [200] upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure. In an implementation, the computing device [200] may also implement a method for
20 providing a shape-based location response utilising the system. In another
implementation, the computing device [200] itself implements the method for providing a shape-based location response using one or more units configured within the computing device [200], wherein said one or more units are capable of implementing the features as disclosed in the present disclosure.
25
[0062] The computing device [200] may include a bus [202] or other communication mechanism for communicating information, and a hardware processor [204] coupled with bus [202] for processing information. The hardware processor [204] may be, for example, a general-purpose microprocessor. The
30 computing device [200] may also include a main memory [206], such as a random-
access memory (RAM), or other dynamic storage device, coupled to the bus [202]
14

for storing information and instructions to be executed by the processor [204]. The
main memory [206] also may be used for storing temporary variables or other
intermediate information during execution of the instructions to be executed by the
processor [204]. Such instructions, when stored in non-transitory storage media
5 accessible to the processor [204], render the computing device [200] into a special-
purpose machine that is customized to perform the operations specified in the instructions. The computing device [200] further includes a read only memory (ROM) [208] or other static storage device coupled to the bus [202] for storing static information and instructions for the processor [204].
10
[0063] A storage device [210], such as a magnetic disk, optical disk, or solid-state drive is provided and coupled to the bus [202] for storing information and instructions. The computing device [200] may be coupled via the bus [202] to a display [212], such as a cathode ray tube (CRT), Liquid crystal Display (LCD),
15 Light Emitting Diode (LED) display, Organic LED (OLED) display, etc. for
displaying information to a computer user. An input device [214], including alphanumeric and other keys, touch screen input means, etc. may be coupled to the bus [202] for communicating information and command selections to the processor [204]. Another type of user input device may be a cursor controller [216], such as a
20 mouse, a trackball, or cursor direction keys, for communicating direction
information and command selections to the processor [204], and for controlling cursor movement on the display [212]. 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.
25
[0064] The computing device [200] may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and/or program logic which in combination with the computing device [200] causes or programs the computing device [200] to be a special-purpose machine.
30 According to one implementation, the techniques herein are performed by the
computing device [200] in response to the processor [204] executing one or more
15

sequences of one or more instructions contained in the main memory [206]. Such
instructions may be read into the main memory [206] from another storage medium,
such as the storage device [210]. Execution of the sequences of instructions
contained in the main memory [206] causes the processor [204] to perform the
5 process steps described herein. In alternative implementations of the present
disclosure, hard-wired circuitry may be used in place of or in combination with software instructions.
[0065] The computing device [200] also may include a communication interface
10 [218] coupled to the bus [202]. The communication interface [218] provides a two-
way data communication coupling to a network link [220] that is connected to a
local network [222]. For example, the communication interface [218] 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
15 telephone line. As another example, the communication interface [218] may be a
local area network (LAN) card to provide a data communication connection to a
compatible LAN. Wireless links may also be implemented. In any such
implementation, the communication interface [218] sends and receives electrical,
electromagnetic or optical signals that carry digital data streams representing
20 various types of information.
[0066] The computing device [200] can send messages and receive data, including program code, through the network(s), the network link [220] and the communication interface [218]. In the Internet example, a server [230] might
25 transmit a requested code for an application program through the Internet [228], the
ISP [226], the local network [222], a host [224] and the communication interface [218]. The received code may be executed by the processor [204] as it is received, and/or stored in the storage device [210], or other non-volatile storage for later execution.
30
16

[0067] Referring to FIG. 3, an exemplary block diagram of a system [300] for
providing a shape-based location response, in accordance with the exemplary
implementations of the present disclosure, is shown. Further, FIG. 4 illustrates a
system architecture diagram for providing a shape-based location response, in
5 accordance with exemplary implementations of the present disclosure.
[0068] FIG. 3 and FIG. 4 have been explained simultaneously and may be read in conjunction with each other.
10 [0069] As depicted in FIG. 3, the system [300] may include at least one transceiver
unit [302], at least one identification unit [304], at least one converter unit [306], and at least one storage unit [308]. Also, all of the components/ units of the system [300] are assumed to be connected to each other unless otherwise indicated below. As shown in the FIG. 3, all units shown within the system [300] should also be
15 assumed to be connected to each other. Also, in FIG. 3, only a few units are shown,
however, the system [300] may comprise multiple such units or the system [300] may comprise any such numbers of said units, as required to implement the features of the present disclosure. Further, in an implementation, the system [300] may be present in a user device/ user equipment [102] to implement the features of the
20 present disclosure. The system [300] may be a part of the user device [102]/ or may
be independent of but in communication with the user device [102] (may also referred herein as a UE). In another implementation, the system [300] may reside in a server or a network entity. In yet another implementation, the system [300] may reside partly in the server/ network entity and partly in the user device.
25
[0070] In one example, the system [300] may be implemented as a Gateway Mobile Location Centre (GMLC) [134]. In such cases, the different units, as depicted in FIG. 3, may be part of the GMLC [134], i.e., the system [300]. In another example, the system [300] may include GMLC [134], along with other network
30 entities/components known to a person skilled in the art, which may be in
17

communication with the GMLC [134]. In such cases also, different units, as depicted in FIG. 3, may be a part of the GMLC [134].
[0071] As would be understood, the Gateway Mobile Location Centre (GMLC)
5 [134] is a network node that provides the functionality required to support location-
based services (LBS). The GMLC [134] may be responsible for processing location related data. It acts as midway between the clients [401] requesting location data and the components that provide such data.
10 [0072] In operation, the system [300] may be configured for providing a shape-
based location response, with the help of the interconnection between the components/units of the system [300].
[0073] In order for providing a shape-based location response, the transceiver unit
15 [302] may receive a location request from one or more clients [401]. This has been
depicted by Step 402 in FIG. 4. As would be understood, the location request may be made by the one or more clients [401] to obtain the location information.
[0074] In one example, for handling the location requests, the Gateway Mobile
20 Location Center (GMLC) [134] may perform other functionalities as well, known
to a person skilled in the art.
[0075] In one example, the one or more clients [401] may be one of a Location Information Manager (LIM) and a Location-based Service Provider (LBSP).
25
[0076] The Location Information Manager (LIM) is a system or application responsible for managing and processing location information. Further, the Location Based Service Provider (LBSP) is a service that uses geographic data to provide information or services to users based on their location.
30
18

[0077] Considering an example, say, a Location Based Service Provider (LBSP)
needs to provide location-based advertisements to users. The LBSP sends a location
request to the system, specifying the need for accurate location data to target
advertisements more effectively. The transceiver unit [302] within the system [300]
5 receives this request, identifies it as a genuine request from an LBSP, and prepares
it for further processing to provide the necessary location data.
[0078] Continuing further, the identification unit [304] may then identify an accuracy level for the received location request.
10
[0079] In an implementation of the present disclosure, the identification unit [304] is configured to estimate various factors associated with the location request. For example, these factors may include the type of client making the request, the intended use of the location data, and any specific requirements specified in the
15 request. Based on this evaluation, the identification unit [304] assigns an accuracy
level to the request. This accuracy level determines how exact the location information provided in response may be.
[0080] In an example, the location estimates are provided based on QoS and
20 accuracy levels.
[0081] In one example, a storage unit [308] may store the identified accuracy level. In another example, the storage unit [308] may store the identified accuracy level in a database or a repository. 25
[0082] The storage unit [308] ensures that the system holds information about the accuracy levels associated with different location requests.
[0083] In yet another example, the accuracy level is one of a high accuracy level, a
30 medium accuracy level, and a low accuracy level.
19

[0084] The high accuracy level provides the most accurate location data, suitable
for applications requiring exact positioning, such as navigation or real time
tracking. The medium accuracy level offers a balanced approach, providing
reasonably accurate data without the need for the highest precision, suitable for
5 general location based services. The low accuracy level provides the least accurate
data, sufficient for applications where exact location is not critical, such as regional advertising or weather updates.
[0085] Considering an example, say, a LBSP needs to track the exact location of
10 delivery drivers. The LBSP sends a location request with a need for high precision
to ensure accurate delivery tracking. Upon receiving this request, the identification unit [304] evaluates the details and determines that a high accuracy level is necessary for this purpose.
15 [0086] Continuing further, thereafter, the transceiver unit [302] may transmit the
location request to an access and mobility management function (AMF) [106]. This has been depicted by Step 404 in FIG. 4.
[0087] In an implementation of the present disclosure, the transceiver unit [302] is
20 configured to send the location request to the AMF [106]. This configuration
includes the ability to encode the request with all necessary information, such as the identified accuracy level and any other relevant data.
[0088] In an example, as depicted in FIG. 4, the AMF [106] is connected to the
25 transceiver unit [302] via an NL2 interface. The connection via the NL2 interface
is central for communication, confirming that the location request moves efficiently to the AMF [106] for further processing and response. The NL2 interface is a conceptual interface used to facilitate communication between the transceiver unit [302] and the AMF [106]. 30
20

[0089] Further the transceiver unit [302] configured to receive a location response from the AMF in response to the location request. This has been depicted by Step 406 in FIG. 4. The location response may include a pre-defined shape for geometric area description (GAD). 5
[0090] The pre-defined shape is any defined shape of the location to describe the geometric area of the requested location.
[0091] In an example, the geographic shape, is used to represent the position of a
10 mobile device. It specifies predefined shapes like an "ellipsoid point" or an
"ellipsoid point with uncertainty circle" that can be used to describe location information. These shapes are used to ensure that the location estimate provided meets the requested Quality of Service (QoS) and accuracy requirements.
15 [0092] In another example, an ellipsoid point is that of a point on the surface of the
ellipsoid and consists of a latitude and a longitude. In practice, such a description can be used to refer to a point on Earth’s surface, or close to Earth’s surface, with the same longitude and latitude.
20 [0093] The ‘ellipsoid point with uncertainty circle’ is characterised by the co-
ordinates of an ellipsoid point (the origin) and a distance r. It describes formally the set of points on the ellipsoid which are at a distance from the origin less than or equal to r, the distance being the geodesic distance over the ellipsoid, i.e., the minimum length of a path staying on the ellipsoid and joining the two points. As
25 for the ellipsoid point, this can be used to indicate points on the Earth surface, or
near the Earth surface, of same latitude and longitude. The typical use of this shape is to indicate a point when its position is known only with a limited accuracy.
[0094] In an implementation of the present disclosure, the transceiver unit [302]
30 captures the incoming location response from the AMF [106]. The GAD format is
a standardized way to describe geographic areas using geometric shapes, which can
21

include circles, rectangles, or other shapes depending on the accuracy level required.
[0095] Continuing further, the converter unit [306] may then convert the pre-
5 defined shape for the GAD into a customizable shape based on the identified
accuracy level. For example, as per the request of the client, the defined shape is
converted into the requested shape basis the accuracy level.
[0096] In an example, the converter unit [306] may convert the pre-defined shape
10 for the GAD to a customizable circular shape for the high accuracy level. In another
example, the converter unit [306] may convert the pre-defined shape for the GAD to a customizable arc shape for the medium accuracy level. In yet another example, the converter unit [306] may convert the pre-defined shape for the GAD to a customizable elliptical shape for the low accuracy level. 15
[0097] The customizable circular shape is circle that can be adjusted in size and
position to meet high accuracy requirements. For high accuracy, the system needs
to pinpoint the location with maximum accuracy. Therefore, a circle with an
accurately defined radius and center is used. The circular shape used for high
20 accuracy level, representing a precise area with a central point and radius.
[0098] For medium accuracy, the shape provides accuracy for general location
services. An arc shape can represent a sector of a circle, providing enough detail
without requiring pinpoint accuracy. The customizable arc shape is a sector of a
25 circle that can be tailored to balance between coverage and accuracy for medium
accuracy needs.
[0099] For low accuracy, an ellipse covers a broader area with less precision,
suitable for applications where exact location is not critical. The customizable
30 elliptical shape is an ellipse that can be modified to provide broad coverage with
low accuracy requirements.
22

[0100] For example, consider an embodiment where a Location Information
Manager (LIM) receives a location request from a mobile device. The LIM
processes this request and identifies that a high accuracy level is needed (e.g., for
5 an emergency service). The predefined ellipsoid shape is received from the AMF
[106]. However, to meet the high accuracy requirement, the system converts this shape into a customizable circle, confirming that the location provided is both compliant with the standard and highly accurate.
10 [0101] Referring to FIG. 5, an exemplary method flow diagram [500] for providing
a shape-based location response, in accordance with exemplary implementations of the present disclosure, is shown. In an implementation, the method [500] is performed by the system [300]. Further, in an implementation, the system [300] may be present in a server device to implement the features of the present
15 disclosure. Also, as shown in FIG. 5, the method [500] starts at step [502].
[0102] At step [504], the method comprises, receiving, by a transceiver unit [302], a location request from one or more clients. As would be understood, the location request may be made by the one or more clients to obtain the location information. 20
[0103] In one example, the one or more clients may be one of a Location Information Manager (LIM) and a Location-based Service Provider (LBSP).
[0104] At step [506], the method comprises, identifying, by an identification unit
25 [304] an accuracy level for the received location request.
[0105] In an implementation of the present disclosure, the identification unit [304]
is configured to estimate various factors associated with the location request. For
example, these factors may include the type of client making the request, the
30 intended use of the location data, and any specific requirements specified in the
request. Based on this evaluation, the identification unit [304] assigns an accuracy
23

level to the request. This accuracy level determines how exact the location information provided in response may be.
[0106] In one example, a storage unit [308] may store the identified accuracy level.
5 In another example, the storage unit [308] may store the identified accuracy level
in a database or a repository.
[0107] The storage unit [308] ensures that the system holds information about the accuracy levels associated with different location requests. 10
[0108] In yet another example, the accuracy level is one of a high accuracy level, a medium accuracy level, and a low accuracy level.
[0109] The high accuracy level provides the most accurate location data, suitable
15 for applications requiring exact positioning, such as navigation or real time
tracking. The medium accuracy level offers a balanced approach, providing
reasonably accurate data without the need for the highest precision, suitable for
general location based services. The low accuracy level provides the least accurate
data, sufficient for applications where exact location is not critical, such as regional
20 advertising or weather updates.
[0110] At step [508], the method comprises, transmitting, by the transceiver unit [302] the location request to an Access and Mobility Management Function (AMF) [106].
25
[0111] In an implementation of the present disclosure, the transceiver unit [302] is configured to send the location request to the AMF [106]. This configuration includes the ability to encode the request with all necessary information, such as the identified accuracy level and any other relevant data.
30
24

[0112] In an example, the AMF [106] is connected to the transceiver unit [302] via an NL2 interface. The connection via the NL2 interface is central for communication, confirming that the location request moves efficiently to the AMF [106] for further processing and response. 5
[0113] At step [510], the method comprises, receiving, by the transceiver unit [302], a location response from the AMF [106] in response to the location request, wherein the location response comprises of a pre-defined shape for geometric area description (GAD). 10
[0114] Further the transceiver unit [302] configured to receive a location response from the AMF [106] in response to the location request. The location response may include a pre-defined shape for geometric area description (GAD).
15 [0115] The pre-defined shape is any defined shape of the location to describe the
geometric area of the requested location.
[0116] In an implementation of the present disclosure, the transceiver unit [302]
captures the incoming location response from the AMF [106]. The GAD format is
20 a standardized way to describe geographic areas using geometric shapes, which can
include circles, rectangles, or other shapes depending on the accuracy level required.
[0117] At step [512], the method comprises, converting, by a converter unit [306],
25 the pre-defined shape for the GAD into a customizable shape based on the identified
accuracy level.
[0118] Continuing further, the converter unit [306] may then convert the pre¬
defined shape for the GAD into a customizable shape based on the identified
30 accuracy level. For example, as per the request of the client, the defined shape is
converted into the requested shape basis the accuracy level.
25

[0119] In an example, the converter unit [306] may convert the pre-defined shape
for the GAD to a customizable circular shape for the high accuracy level. In another
example, the converter unit [306] may convert the pre-defined shape for the GAD
5 to a customizable arc shape for the medium accuracy level. In yet another example,
the converter unit [306] may convert the pre-defined shape for the GAD to a customizable elliptical shape for the low accuracy level.
[0120] The customizable circular shape is circle that can be adjusted in size and
10 position to meet high accuracy requirements. For high accuracy, the system needs
to pinpoint the location with maximum accuracy. Therefore, a circle with an accurately defined radius and center is used. The circular shape used for high accuracy level, representing a precise area with a central point and radius.
15 [0121] For medium accuracy, the shape provides accuracy for general location
services. An arc shape can represent a sector of a circle, providing enough detail without requiring pinpoint accuracy. The customizable arc shape is a sector of a circle that can be tailored to balance between coverage and accuracy for medium accuracy needs.
20
[0122] For low accuracy, an ellipse covers a broader area with less precision, suitable for applications where exact location is not critical. The customizable elliptical shape is an ellipse that can be modified to provide broad coverage with low accuracy requirements.
25
[0123] Thereafter, the method terminates at step [514].
[0124] The present disclosure further discloses a non-transitory computer
readable storage medium storing instructions for providing a shape-based location
30 response. The instructions include executable code which, when executed by one
or more units of a system [300], causes a transceiver unit [302] of the system [300]
26

to receive a location request from one or more clients. Further, the instructions
include executable code which, when executed, causes an identification unit [304]
to identify an accuracy level for the received location request. Further, the
instructions include executable code which, when executed, causes the transceiver
5 unit [302] to transmit the location request to an access and mobility management
function (AMF) [106]. Further, the instructions include executable code which,
when executed, causes the transceiver unit [302] to receive a location response from
the AMF [106] in response to the location request, wherein the location response
comprises of a pre-defined shape for geometric area description (GAD). Further,
10 the instructions include executable code which, when executed, causes a converter
unit [306] to convert the pre-defined shape for the GAD into a customizable shape based on the identified accuracy level.
[0125] As is evident from the above, the present disclosure provides a
15 technically advanced solution for providing customizable shape to mark
geographical region for location retrieval based on required accuracy.
[0126] While considerable emphasis has been placed herein on the disclosed
implementations, it will be appreciated that many implementations can be made and
20 that many changes can be made to the implementations without departing from the
principles of the present disclosure. These and other changes in the implementations 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 and non-limiting.
25
[0127] 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 particular functionality of these units for clarity, it is recognized that various
30 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
27

as limiting the scope of the present disclosure. Consequently, alternative 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.

We Claim:
1. A method [500] for providing a shape-based location response, the method
[500] comprising:
- receiving [504], by a transceiver unit [302], a location request from one or more clients;
- identifying [506], by an identification unit [304], an accuracy level for the received location request;
- transmitting [508], by the transceiver unit [302], the location request to an Access and Mobility Management Function (AMF) [106];
- receiving [510], by the transceiver unit [302], a location response from the AMF [106] in response to the location request, wherein the location response comprises of a pre-defined shape for geometric area description (GAD); and
- converting [512], by a converter unit [306], the pre-defined shape for the GAD into a customizable shape based on the identified accuracy level.

2. The method [500] as claimed in claim 1, further comprising: storing, by a storage unit [308], the identified accuracy level.
3. The method [500] as claimed in claim 1, wherein the one or more clients are one of a location information manager (LIM) and a location-based service provider (LBSP).
4. The method [500] as claimed in claim 1, wherein the accuracy level is one of a high accuracy level, a medium accuracy level, and a low accuracy level.
5. The method [500] as claimed in claim 4, wherein the pre-defined shape for the GAD is converted to a customizable circular shape for the high accuracy level.

6. The method [500] as claimed in claim 4, wherein the pre-defined shape for the GAD is converted to a customizable arc shape for the medium accuracy level.
7. The method [500] as claimed in claim 4, wherein the pre-defined shape for the GAD is converted to a customizable elliptical shape for the low accuracy level.
8. The method [500] as claimed in claim 1, wherein the AMF [106] is connected to the transceiver unit [302] via an NL2 interface.
9. A system [300] for providing a shape-based location response, the system [300]
comprising:
- a transceiver unit [302] configured to: receive a location request from one or more clients;
- an identification unit [304] connected at least to the transceiver unit [302], the identification unit [304] configured to: identify an accuracy level for the received location request;
- the transceiver unit [302] further configured to:
o transmit the location request to an Access and Mobility Management Function (AMF) [106];
o receive a location response from the AMF [106] in response to the location request, wherein the location response comprises of a pre-defined shape for geometric area description (GAD); and
- a converter unit [306] connected to at least the transceiver unit [302] and the
identification unit [304], the converter unit [306] configured to: convert the
pre-defined shape for the GAD into a customizable shape based on the
identified accuracy level.
10. The system [300] as claimed in claim 9, further comprising a storage unit
[308] connected at least to the transceiver unit [302], wherein the storage unit [308]
is configured to store the identified accuracy level.

11. The system [300] as claimed in claim 9, wherein the one or more clients are one of a location information manager (LIM) and a location-based service provider (LBSP).
12. The system [300] as claimed in claim 9, wherein the accuracy level is one of a high accuracy level, a medium accuracy level, and a low accuracy level.
13. The system [300] as claimed in claim 12, wherein the pre-defined shape for the GAD is converted to a customizable circular shape for the high accuracy level.
14. The system [300] as claimed in claim 12, wherein the pre-defined shape for the GAD is converted to a customizable arc shape for the medium accuracy level.
15. The system [300] as claimed in claim 12, wherein the pre-defined shape for the GAD is converted to a customizable elliptical shape for the low accuracy level.
16. The system [300] as claimed in claim 9, wherein the AMF [106] is connected to the system [300] via an NL2 interface.