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 IDENTIFYING ONE OR
MORE DEVICES COMPATIBLE WITH A NETWORK
TECHNOLOGY SERVICE”
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 IDENTIFYING ONE OR MORE DEVICES COMPATIBLE WITH A NETWORK TECHNOLOGY SERVICE
FIELD OF THE INVENTION
[0001] The present disclosure generally relates to the field of wireless communication systems. More particularly, embodiments of the present disclosure relate to a method and system for identifying one or more devices compatible with a network technology service.
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. 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] Whenever a call session is established, a set of records for the session may be maintained. The record comprises information regarding the call, such as, information related to the size of data that is uploaded or downloaded in the session, session duration, etc. Further, the session record also contains a SIM (subscriber identity module) identity information such as IMSI (International Mobile Subscriber Identity) and a user device identity information such as IMEI (International Mobile Equipment Identity). The session records can be used for various purposes, for example, to know the devices that may be capable of using higher grade services (for example, 5G), the area in which the devices are located etc.
[0005] In some instances, the devices that are capable of using higher grade services, say 5G services, do not use 5G services for various reasons. In many cases the reasons for the devices not using the 5G services are not known. If the actual reason for the 5G enabled devices not using 5G services is not known, it will not be resolved as well. As a result, it may lead to poor user experience by continuously using the lower grade services, say 4G or 3G, even when the user device is capable of using 5G services.
[0006] Thus, there exists an imperative need in the art to for providing method and system for identifying devices with capability of using higher technology generation services but using lower technology generation services and reason for the same, which the present disclosure aims to address.
SUMMARY
[0007] 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.
[0008] An aspect of the present disclosure may relate to a method for identifying one or more devices compatible with a network technology service. The method

includes receiving, by a receiving unit, a call summary log (CSL) data from a plurality of sources. The method further includes receiving, by the receiving unit, a cell deployment data from a database, the cell deployment data is at least one of site based or sector based. The method further includes identifying, by a processing unit, one or more key performance indicators (KPIs) from the CSL data. The method further includes computing, by a computational unit, the identified one or more KPIs by aggregating one or more values for one or more fields within the CSL data. The method further includes identifying, by the processing unit, the one or more devices compatible with network technology service.
[0009] In an exemplary aspect of the present disclosure, the method further comprises storing, by a storing unit, the computed one or more KPIs at an International Mobile Subscriber Identity (IMSI) serving cell level.
[00010] In an exemplary aspect, the one or more KPIs comprises at least one
of usage metrics and experience metrics, and wherein the usage metrics comprises Traffic details, Duration details, Session count details, and Experience metrics comprises RSRP details, Throughput details, CQI details, and SINR details.
[00011] In an exemplary aspect, the method further comprises displaying, by
a display unit via a user interface, an output result based on the identification of the one or more devices compatible with the network technology service.
[00012] In an exemplary aspect of the present disclosure, the one or more
devices compatible with the network technology service is identified based on a Type Allocation Code (TAC) associated with each device.
[00013] Another aspect of the present disclosure may relate to a system for
identifying one or more devices compatible with a network technology service. The system comprises a receiving unit configured to receive a call summary log (CSL) data from a plurality of sources. The receiving unit is configured to receive a cell deployment data from a database, the cell deployment data is at least one of site based or sector based. The system further comprises a processing unit configured

to identify one or more key performance indicators (KPIs) from the CSL data. The system further comprises a computational unit configured to compute the identified one or more KPIs by aggregating one or more values for one or more fields within the CSL data. The processing unit is further configured to identify the one or more devices compatible with network technology service.
[00014] Yet another aspect of the present disclosure may relate to a non-
transitory computer readable storage medium storing instructions for identifying one or more devices compatible with a network technology service, the instructions include executable code which, when executed by one or more units of a system, causes: a receiving unit to receive a call summary log (CSL) data from a plurality of sources. The instructions when executed further causes the receiving unit to receive a cell deployment data from a database, the cell deployment data is at least one of site based or sector based. The instructions when executed causes a processing unit to identify one or more key performance indicators (KPIs) from the CSL data. The instructions when executed causes a computational unit to compute the identified one or more KPIs by aggregating one or more values for one or more fields within the CSL data. The instructions when executed causes the processing unit to identify the one or more devices compatible with network technology service.
OBJECTS OF THE INVENTION
[00015] Some of the objects of the present disclosure, which at least one
embodiment disclosed herein satisfies are listed herein below.
[00016] It is an object of the present disclosure to provide a system and a
method for identifying devices with capability of using higher technology generation services but using lower technology generation services.
[00017] It is yet another object of the present disclosure to provide a solution
that is able to use call session records/logs data for analysing the reason for the

devices capable of using higher technology generation services but using lower technology generation services.
DESCRIPTION OF THE DRAWINGS
[00018] 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 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.
[00019] FIG. 1 illustrates an exemplary block diagram representation of 5th
generation core (5GC) network architecture.
[00020] 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.
[00021] FIG. 3 illustrates an exemplary block diagram of a system for
identifying one or more devices compatible with a network technology service, in accordance with exemplary implementations of the present disclosure.
[00022] FIG. 4 illustrates a method flow diagram for identifying one or more
devices compatible with a network technology service, in accordance with exemplary implementations of the present disclosure.
[00023] FIG. 5 illustrates an exemplary block diagram of a system
architecture for identifying one or more devices compatible with a network

technology service, in accordance with exemplary implementations of the present disclosure.
[00024] The foregoing shall be more apparent from the following more
detailed description of the disclosure.
DETAILED DESCRIPTION
[00025] In the following description, for the purposes of explanation, various
specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter 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.
[00026] The ensuing description provides exemplary embodiments only, and
is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.
[00027] Specific details are given in the following description to provide a
thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail.

[00028] 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 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.
[00029] The word “exemplary” and/or “demonstrative” is used herein to
mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive—in a manner similar to the term “comprising” as an open transition word—without precluding any additional or other elements.
[00030] 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 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 the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.

[00031] 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”, “a wireless communication device”, “a mobile communication device”, “a communication device” may be any electrical, electronic and/or computing device 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 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 at least one of a transceiver unit, a processing unit, a storage unit, a detection unit and any other such unit(s) which are required to implement the features of the present disclosure.
[00032] 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 types of machine-accessible storage media. The storage unit stores at least the data that may be required by one or more units of the system to perform their respective functions.
[00033] As used herein “interface” or “user interface refers to a shared
boundary across which two or more separate components of a system exchange information 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.
[00034] 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, Application Specific Integrated Circuits (ASIC), Field Programmable Gate Array circuits (FPGA), any other type of integrated circuits, etc.
[00035] 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 and/or connected with the system.
[00036] As used herein, call summary log refers to data is session level data
which summarize the events and statistics related to voice calls, data sessions, and signalling procedures that occur within the network. It provides information regarding usage, duration, radio frequency (RF) condition, bearer information, handover information etc.
[00037] As used herein, cell deployment data refers to data which data about
the network infrastructure, specifically the locations and configurations of cells, sites and sectors. The cell deployment data may provide data about availability of network services and their geographical distribution.
[00038] As used herein, an International Mobile Subscriber Identity (IMSI)
refers to a global unique number that cellular networks use to identify and authenticate users and/or devices on a GSM or UMTS network. IMSIs are used in any network that connects with another and are stored on the SIM card.
[00039] As used herein, Reference Signal Received Power (RSRP) details
are details used in wireless communication, particularly in cellular networks. It quantifies the strength of the received signal from the serving cell's base station.

[00040] As used herein, channel quality indicator refers to indicate the
channel quality to the eNodeB. The CQI reported value is between 0 and 15. This indicates the level of modulation and coding the UE could operate.
[00041] As used herein, signal interference plus noise ratio details (SINR)
which is the ratio of the signal level to the noise level (or simply the signal-to-noise ratio). The SINR value is measured in decibels (dB). The higher the SINR value, the better the signal quality.
[00042] As used herein, International Mobile Equipment Identity (IMEI) is
a 15-17-digit code that is given to every mobile phone. This number is used by service providers to uniquely identify valid devices.
[00043] As used herein, Subscription Permanent Identifier (SUPI) refers to
a unique identifier used to represent a subscriber's permanent identity in a 5G network.
[00044] As used herein, network technology service are the
telecommunication services such as but not limited to 4G services, 5G services etc. and may also include other higher technology services such as but not limited to 6G services and beyond etc.
[00045] 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 method and system for identifying one or more devices compatible with a network technology service.
[00046] 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

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], 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 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.
[00047] 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.
[00048] 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.
[00049] 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.
[00050] 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.

[00051] 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.
[00052] Network Slice Specific Authentication and Authorization Function
5 (NSSAAF) [114] is a network function that provides authentication and
authorization services specific to network slices. It ensures that UEs can access only the slices for which they are authorized.
[00053] Network Slice Selection Function (NSSF) [116] is a network
function responsible for selecting the appropriate network slice for a UE based on
10 factors such as subscription, requested services, and network policies.
[00054] Network Exposure Function (NEF) [118] is a network function that
exposes capabilities and services of the 5G network to external applications, enabling integration with third-party services and applications.
[00055] Network Repository Function (NRF) [120] is a network function
15 that acts as a central repository for information about available network functions
and services. It facilitates the discovery and dynamic registration of network functions.
[00056] Policy Control Function (PCF) [122] is a network function
responsible for policy control decisions, such as QoS, charging, and access control,
20 based on subscriber information and network policies.
[00057] Unified Data Management (UDM) [124] is a network function that
centralizes the management of subscriber data, including authentication, authorization, and subscription information.
[00058] Application Function (AF) [126] is a network function that
25 represents external applications interfacing with the 5G core network to access
network capabilities and services.
13

[00059] User Plane Function (UPF) [128] is a network function responsible
for handling user data traffic, including packet routing, forwarding, and QoS enforcement.
5 [00060] 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.
[00061] FIG. 2 illustrates an exemplary block diagram of a computing
10 device [200] (also referred to herein as computer system [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 identifying one or more
devices compatible with a network technology service utilising the system. In
15 another implementation, the computing device [200] itself implements the method
for identifying one or more devices compatible with a network technology service 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.
20 [00062] 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
computing device [200] may also include a main memory [206], such as a random-
25 access memory (RAM), or other dynamic storage device, coupled to the bus [202]
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
14

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
5 information and instructions for the processor [204].
[00063] 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),
10 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
15 a 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.
20 [00064] 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. According to one implementation, the techniques herein are performed by
25 the computing device [200] in response to the processor [204] executing one or
more 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
30 perform the process steps described herein. In alternative implementations of the
15

present disclosure, hard-wired circuitry may be used in place of or in combination with software instructions.
[00065] The computing device [200] also may include a communication
interface [218] coupled to the bus [202]. The communication interface [218]
5 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 telephone line. As another example, the communication
10 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 various types of information.
15 [00066] 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 transmit a requested code for an application program through the Internet [228], the ISP [226], the local network [222], host [224] and the communication interface
20 [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.
[00067] The computing device [200] encompasses a wide range of electronic
devices capable of processing data and performing computations. Examples of
25 computing device [200] include, but are not limited only to, personal computers,
laptops, tablets, smartphones, servers, and embedded systems. The devices may operate independently or as part of a network and can perform a variety of tasks such as data storage, retrieval, and analysis. Additionally, computing device [200] may include peripheral devices, such as monitors, keyboards, and printers, as well
16

as integrated components within larger electronic systems, showcasing their versatility in various technological applications.
[00068] Referring to FIG. 3, an exemplary block diagram of a system [300]
for identifying one or more devices compatible with a network technology service,
5 is shown, in accordance with the exemplary implementations of the present
disclosure. The system [300] comprises at least one receiving unit [302], at least one database [304], at least one processing unit [306], at least one computational unit [308], at least one storing unit [312], and at least one display unit [314] comprising user interface [314a]. Also, all of the components/ units of the system
10 [300] are assumed to be connected to each other unless otherwise indicated below.
As shown in the figures all units shown within the system should also be 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
15 the present disclosure. Further, in an implementation, the system [300] may be
present in a user device to implement the features of the present disclosure. The system [300] may be a part of the user device / or may be independent of but in communication with the user device (may also referred herein as a UE). In another implementation, the system [300] may reside in a server or a network entity. In yet
20 another implementation, the system [300] may reside partly in the server/ network
entity and partly in the user device.
[00069] The system [300] is configured for identifying one or more devices
compatible with a network technology service with the help of the interconnection between the components/units of the system [300].
25 [00070] The system [300] comprises a receiving unit [302] configured to
receive a call summary log (CSL) data from a plurality of sources.
[00071] The receiving unit [302] receives the call summary log (CSL) data
which includes session level data that summarizes the events and statistics related to voice calls, data sessions, and signalling procedures that occur within the
17

network. It provides information regarding usage, duration, radio frequency conditions (RF) condition, bearer information, handover information etc.
[00072] The receiving unit receives CSL data from the plurality of sources
(such as network vendors or operators). Each network operator generates CSL data,
5 which contains detailed records of mobile device activities, such as network usage,
signal strength, and other key performance metrics. For example, CSL data could
be generated by equipment from vendors capturing both 4G and 5G network
activities. The CSL data from all these sources is collected and centralized,
regardless of the vendor or technology. For example, if a user’s device is operating
10 on a Samsung network infrastructure in one location and an Ericsson infrastructure
in another, the receiving unit would gather CSL data from both vendors. This allows the system to have a comprehensive view of the user's device performance across different networks.
[00073] The receiving unit [302] is further configured to receive a cell
15 deployment data from a database [304], the cell deployment data is at least one of
site based or sector based.
[00074] The receiving unit [302] receives the cell deployment data from the
database [304]. In an exemplary aspect, cell deployment data which includes data
about the network infrastructure, specifically the locations and configurations of
20 cells, sites and sectors. The cell deployment data may provide data about
availability of network services and their geographical distribution.
[00075] In an exemplary aspect, database [304] stores the cell deployment
data which is at least of site based or sector-based data. In an exemplary aspect,
site-based data includes such as but not limited only to data about the physical
25 locations of network sites (e.g., cell towers or base stations). the geographic
coordinates i.e. latitude and longitude of each site of network sites, site identity (ID), type of equipment, network deployment details to check whether 4G or 5G is deployed in a given location, coverage area of each site, which may include range and signal strength etc.
18

[00076] For example, site-based data might include the geographical
coordinates and characteristics of a cell tower, such as its height, power levels, and
the technology it supports (e.g., 4G or 5G). Sector-based data could include more
granular details, such as the orientation and coverage area of individual antennas
5 on a tower, which might cover different directions or serve different parts of a city
or region. The deployment data enables the system [300] to map out the exact areas where 5G coverage should be available. For example, if a particular cell tower is deployed with 5G antennas covering a specific sector of a city, the system can determine that users within that sector should be able to access 5G services. By
10 comparing this data with the actual usage data from the CSL logs, the system can
identify discrepancies, such as users with 5G-capable devices in a covered sector who are still connecting to 4G. This enables more targeted analysis and optimization of network performance. Further, the database [304] storing the cell deployment data may continuously be updated as new towers are installed, or existing ones are
15 upgraded.
[00077] In an exemplary aspect, sector-based data provides detailed
information about the divisions within each site. A single site may be divided into
multiple sectors, each with its own set of antennas and coverage patterns. The
sector-based data may include such as but not limited to data related to sector
20 identity (ID), data on the coverage area for each sector, including the sector's
specific angle and range, data related to capacity of each sector, data related to traffic loads of each sector, data related to signal quality in each sector etc.
[00078] The system further comprises a processing unit [306] configured to
identify one or more key performance indicators (KPIs) from the CSL data. In an
25 exemplary aspect, the processing unit [306] is connected to receiving unit [302].
[00079] After receiving the CSL data and cell deployment data at the
receiving unit [302], the processing unit [306] identifies one or more key performance indicators (KPIs) from the CSL data related to device capabilities, network interactions, and performance metrics. The processing unit [306] is
19

configured to identify the one or more KPIs from the raw Call Summary Log (CSL)
data that has been received from the plurality of sources. The KPIs refers to
measurements that can be used to evaluate both network performance and user
experience, such as data throughput, signal strength, and connection quality. For
5 example, the processing unit [306] may identify KPIs such as the Reference Signal
Received Power (RSRP), which measures the power of the radio signal received by a device, or Signal-to-Interference-plus-Noise Ratio (SINR), which indicates the quality of the received signal relative to background noise. Other KPIs might include throughput, which reflects the amount of data successfully transmitted over
10 the network, and Call Quality Indicator (CQI), which represents the quality of the
data connection. The one or more KPIs help assess how well the network is performing in specific areas and for individual users. The identification of the one or more KPIs facilitates in determining why certain 5G-capable devices might not be utilizing 5G services. For example, if the processing unit [306] identifies low
15 SINR values for a device in a 5G-covered area, it could indicate poor signal quality,
causing the device to switch to 4G for a more stable connection. Similarly, if throughput is consistently low despite 5G availability, it could suggest network congestion or other issues impacting 5G performance.
[00080] In an exemplary aspect, the processing unit [306] by systematically
20 identifying and organizing the one or more KPIs, enables the system [300] to
analyse patterns, diagnose problems, and optimize network deployment. For example, KPIs related to session duration and traffic volume might indicate high user activity in specific areas, signalling a need for network upgrades or reconfiguration to ensure better 5G utilization.
25 [00081] In an exemplary aspect, the one or more KPIs comprises at least one
of usage metrics and experience metrics, and wherein the usage metrics comprises traffic details, duration details, session count details, and experience metrics comprises RSRP details, throughput details, CQI details, and SINR details.
20

[00082] In an exemplary aspect, key performance indicators (KPIs) include
at least one of usage metrics and experience metrics. In an exemplary aspect, usage
metrics include such as but not limited only to traffic details i.e. amount of data
transmitted and received, duration Details i.e. length of sessions or calls, and
5 session count details that include number of active sessions, which help assess
network load and utilization. In an exemplary aspect, experience metrics includes
such as but not limited to Reference Signal Received Power (RSRP) which helps
assess signal strength, throughput details i.e. data transfer rate, Channel Quality
Indicator (CQI), and Signal to Interference plus Noise Ratio (SINR) which is the
10 ratio of the signal level to the noise level (or simply the signal-to-noise ratio). By
analysing and identifying these KPIs the network operators or user is able to optimize performance, improve coverage such as 5G coverage, and enhance overall service quality of the network.
[00083] The system [300] comprises a computational unit [308] configured
15 to compute the identified one or more KPIs by aggregating one or more values for
one or more fields within the CSL data. In an exemplary aspect, the computational unit [308] is connected to the processing unit [306].
[00084] The computational unit [308] computes the identified one or more
KPIs by aggregating one or more values for one or more field within CSL data. The
20 computational unit [308] may compute the identified KPI by summing/aggregating
the one or more values, averaging the one or more values, and counting relevant data points to calculate one or more values such as traffic volume, call duration, and signal strength. The aggregated KPIs offer insights into network performance and user experience, aiding in network optimization and performance analysis.
25 [00085] The computational unit [308] processes the raw data collected from
multiple sources and calculates the KPIs by summing, averaging, or otherwise combining the data points related to network performance metrics. After the processing unit [306] identifies the key performance indicators (KPIs) from the raw CSL data, the computational unit [308] performs the calculations necessary to
21

derive meaningful aggregated metrics from the CSL data which includes combining
individual data points to generate a comprehensive view of network performance at
different levels, such as per user, per cell, or per sector. For example, the
computational unit [308] may aggregate data related to throughput by summing up
5 the total data transmitted during multiple sessions for a particular user or across a
specific cell site. Similarly, for signal strength, it might calculate the average RSRP value for a device over a given time period or compute the overall network performance by aggregating SINR values from various sessions. The aggregation allows the system to analyse trends and patterns, rather than relying on isolated data
10 points, which provides a more accurate reflection of the user's experience and the
network's performance. For example, if a device's CSL data shows multiple connection sessions in an area, the computational unit [308] will aggregate all the relevant KPI data from those sessions to provide a holistic view of the device’s performance. For example, if the device consistently experiences low signal
15 strength across several sessions, the computational unit [308] will compute this into
a single, aggregated KPI that highlights the issue. This aggregated data is critical for making decisions about network optimization, such as where to deploy additional 5G infrastructure or how to adjust existing network parameters.
[00086] The system further comprises a storing unit [312] configured to store
20 the computed one or more KPIs at an International Mobile Subscriber Identity
(IMSI) serving cell level.
[00087] The storing unit [312] stores the computed one or more KPIs at the
IMSI which serves as a unique number automatically generated and stored in the subscriber identity module (SIM) that identifies every subscriber on the serving cell
25 level. In an exemplary aspect, the storing unit further stores KPIs associated with
such as but not limited to International Mobile Equipment Identity (IMEI) which is unique 15 - 17 digit long number used for identifying valid devices, subscription permanent identifier (SUPI) which is a unique identifier that is assigned to each subscriber in the 5G network, which is provisioned in the unified data management
30 (UDM)/ unified data repository (UDR). In an exemplary aspect, storing unit [312]
22

may be an online database, an internal service provider’s database or may also act like a service provider’s lookup tool.
[00088] The storing unit [312] organizes and stores the data related to
computed one or more KPIs based on the specific user (identified by the IMSI) and
5 the cell site or sector where the user’s device is connected. The IMSI is a unique
identifier for each mobile user, allowing the system to track performance metrics on a per-user basis, while the serving cell information helps to associate those metrics with specific locations within the network. For example, if the system computes a KPI such as average throughput for a particular user, this data is stored
10 in relation to both the user’s IMSI and the specific cell that was providing the
service at the time. This approach allows the system to maintain a detailed record of network performance and user experience across different geographic locations, making it easier to analyse patterns in network usage and performance issues. It would be appreciated by the person skilled in the art that by storing the one or more
15 KPIs at the IMSI-serving cell level, the system can also track how individual users
experience network quality as they move between different cells or sectors. For example, if a user with a 5G-capable device moves through various areas covered by different 5G or 4G cells, the system will store the performance data for each of those cells separately. It would be appreciated by the person skilled in the art that
20 the granular level of storage helps the system identify specific areas where users
might not be getting the expected level of service, enabling targeted improvements in the network.
[00089] The processing unit [306] is further configured to identify the one or
more devices compatible with network technology service. In an exemplary aspect,
25 the processing unit [306] is connected to the computational unit [308].
[00090] The processing unit [306] identifies the one or more devices
compatible with network technology service. In an exemplary aspect, the processing unit [306] identifies which devices are compatible with a specific network technology or service by analysing computed one or more KPIs, cross-
23

referencing device capabilities with network technology requirements, and generating a list of compatible devices. This process helps in optimizing network performance, planning for upgrades, and enhancing user experience by ensuring that devices can effectively use the advanced features of the network.
5 [00091] The processing unit [306] analyses the data gathered from the CSL
logs and other sources to determine which devices have the capability to connect to and utilize a specific network technology, such as 5G. The processing unit [306] cross-references device-specific information, such as the Type Allocation Code (TAC), with a database of known device capabilities. The TAC, which is part of the
10 device’s IMEI number, provides details about the make and model of the device,
allowing the system to identify whether the device supports advanced network technologies like 5G. For example, if a user’s device is identified by its TAC as being 5G-capable, the processing unit [306] flags that device as compatible with 5G services. The capability assessment facilitates the system to differentiate
15 between devices that should be able to access 5G but are not currently doing so, and
those that lack the necessary hardware to connect to a 5G network. By identifying compatible devices, the system can focus on analysing why certain devices are not utilizing available 5G services, despite having the capability to do so.
[00092] In an exemplary aspect, the device capable of using the higher radio
20 technology generation is identified based on a Type Allocation Code (TAC)
associated with each device.
[00093] In an exemplary aspect, TAC is extract from the IMEI number. In
an exemplary aspect, the first 8 digits of the IMEI number represent TAC, which
identifies the model of each device. TAC associated with each device helps identify
25 whether the device is capable of using higher radio technology generation i.e.
whether the device is 4G, or 5G compatible. In an exemplary aspect, TAC codes are stored in the storing unit [312].
[00094] In an exemplary aspect, the processing unit [306] inputs the
extracted TAC into the storing unit [312]. The storing unit [312] may then return
24

the corresponding handset information, such as the brand name, model number, information whether the device is 4G or 5G compatible and other specifications associated with the extracted TAC.
[00095] The system [300] comprises a display unit [314] configured to
5 display, via a user interface [314a], an output result based on the identification of
the one or more devices compatible with the network technology service.
[00096] The display unit [314] displays using the user interface [314a], the
output result based on the identification of the one or more devices compatible with
the network technology service. In an exemplary aspect, the display unit [314]
10 displays on the user interface (UI) [314a] a list of compatible 4G, or 5G devices.
[00097] The display unit [314] serves as the visual interface through which
users, such as network administrators or operators, can interact with the system and view the processed data. The output results shown on the display unit are derived from the system's analysis, specifically the identification of devices that are capable
15 of connecting to advanced network technologies, such as 5G. For example, the
display unit [314] might present a list or dashboard view of all the 5G-capable devices within a particular geographic area, along with details about their network usage patterns, signal quality, and whether or not they are currently utilizing 5G services. This visual output allows network operators to quickly identify trends,
20 such as clusters of 5G-capable devices that are still connecting to 4G, which could
indicate areas where 5G coverage needs to be improved. The user interface [314a] can be designed to provide interactive features, enabling users to filter the data based on various criteria, such as location, device type, or network performance metrics. For example, a network operator might use the user interface [314a] to drill
25 down into specific regions to see how many 5G-capable devices are active in those
areas and assess their connection quality in real-time. The user interface [314a] could also offer graphical representations, such as maps or charts, to visualize network performance and device compatibility across the network.
25

[00098] Referring to FIG. 4, an exemplary method flow diagram [400] for
identifying one or more devices compatible with a network technology service, in
accordance with exemplary implementations of the present disclosure is shown. In
an implementation the method [400] is performed by the system [300]. Further, in
5 an implementation, the system [300] may be present in a server device to implement
the features of the present disclosure. Also, as shown in FIG. 4, the method [400] starts at step [402].
[00099] At step 404, the method [400] comprises receiving, by a receiving
unit [302], a call summary log (CSL) data from a plurality of sources.
10 [000100] The receiving unit [302] receives the call summary log (CSL) data
which includes session level data that summarizes the events and statistics related to voice calls, data sessions, and signalling procedures that occur within the network. It provides information regarding usage, duration, radio frequency conditions (RF) condition, bearer information, handover information etc.
15 [000101] The receiving unit receives CSL data from the plurality of sources
(such as network vendors or operators). Each network operator generates CSL data, which contains detailed records of mobile device activities, such as network usage, signal strength, and other key performance metrics. For example, CSL data could be generated by equipment from vendors capturing both 4G and 5G network
20 activities. The CSL data from all these sources is collected and centralized,
regardless of the vendor or technology. For example, if a user’s device is operating on a Samsung network infrastructure in one location and an Ericsson infrastructure in another, the receiving unit would gather CSL data from both vendors. This allows the system to have a comprehensive view of the user's device performance across
25 different networks.
[000102] At step 406, the method [400] comprises receiving, by the receiving
unit [302], a cell deployment data from a database [304], the cell deployment data is at least one of site based or sector based.
26

[000103] The receiving unit [302] receives the cell deployment data from the
database [304]. In an exemplary aspect, cell deployment data which includes data
about the network infrastructure, specifically the locations and configurations of
cells, sites and sectors. The cell deployment data may provide data about
5 availability of network services and their geographical distribution.
[000104] In an exemplary aspect, database [304] stores the cell deployment
data which is at least of site based or sector-based data. In an exemplary aspect,
site-based data includes such as but not limited only to data about the physical
locations of network sites (e.g., cell towers or base stations). the geographic
10 coordinates i.e. latitude and longitude of each site of network sites, site identity
(ID), type of equipment, network deployment details to check whether 4G or 5G is deployed in a given location, coverage area of each site, which may include range and signal strength etc.
[000105] For example, site-based data might include the geographical
15 coordinates and characteristics of a cell tower, such as its height, power levels, and
the technology it supports (e.g., 4G or 5G). Sector-based data could include more
granular details, such as the orientation and coverage area of individual antennas
on a tower, which might cover different directions or serve different parts of a city
or region. The deployment data enables the system [300] to map out the exact areas
20 where 5G coverage should be available. For example, if a particular cell tower is
deployed with 5G antennas covering a specific sector of a city, the system can
determine that users within that sector should be able to access 5G services. By
comparing this data with the actual usage data from the CSL logs, the system can
identify discrepancies, such as users with 5G-capable devices in a covered sector
25 who are still connecting to 4G. This enables more targeted analysis and optimization
of network performance. Further, the database [304] storing the cell deployment data may continuously be updated as new towers are installed, or existing ones are upgraded.
27

[000106] In an exemplary aspect, sector-based data provides detailed
information about the divisions within each site. A single site may be divided into
multiple sectors, each with its own set of antennas and coverage patterns. The
sector-based data may include such as but not limited to data related to sector
5 identity (ID), data on the coverage area for each sector, including the sector's
specific angle and range, data related to capacity of each sector, data related to traffic loads of each sector, data related to signal quality in each sector etc.
[000107] At step 408, the method [400] comprises identifying, by the
processing unit [306], one or more key performance indicators (KPIs) from the CSL
10 data.
[000108] After receiving the CSL data and cell deployment data at the
receiving unit [302], the processing unit [306] identifies one or more key performance indicators (KPIs) from the CSL data related to device capabilities, network interactions, and performance metrics. The processing unit [306] is
15 configured to identify the one or more KPIs from the raw Call Summary Log (CSL)
data that has been received from the plurality of sources. The KPIs refers to measurements that can be used to evaluate both network performance and user experience, such as data throughput, signal strength, and connection quality. For example, the processing unit [306] may identify KPIs such as the Reference Signal
20 Received Power (RSRP), which measures the power of the radio signal received by
a device, or Signal-to-Interference-plus-Noise Ratio (SINR), which indicates the quality of the received signal relative to background noise. Other KPIs might include throughput, which reflects the amount of data successfully transmitted over the network, and Call Quality Indicator (CQI), which represents the quality of the
25 data connection. The one or more KPIs help assess how well the network is
performing in specific areas and for individual users. The identification of the one or more KPIs facilitates in determining why certain 5G-capable devices might not be utilizing 5G services. For example, if the processing unit [306] identifies low SINR values for a device in a 5G-covered area, it could indicate poor signal quality,
30 causing the device to switch to 4G for a more stable connection. Similarly, if
28

throughput is consistently low despite 5G availability, it could suggest network congestion or other issues impacting 5G performance.
[000109] In an exemplary aspect, the processing unit [306] by systematically
identifying and organizing the one or more KPIs, enables the system [300] to analyse patterns, diagnose problems, and optimize network deployment. For example, KPIs related to session duration and traffic volume might indicate high user activity in specific areas, signalling a need for network upgrades or reconfiguration to ensure better 5G utilization.
[000110] In an exemplary aspect, the one or more KPIs comprises at least one
of usage metrics and experience metrics, and wherein the usage metrics comprises traffic details, duration details, session count details, and experience metrics comprises RSRP details, throughput details, CQI details, and SINR details.
[000111] In an exemplary aspect, key performance indicators (KPIs) include
at least one of usage metrics and experience metrics. In an exemplary aspect, usage metrics include such as but not limited only to traffic details i.e. amount of data transmitted and received, duration Details i.e. length of sessions or calls, and session count details that include number of active sessions, which help assess network load and utilization. In an exemplary aspect, experience metrics includes such as but not limited to Reference Signal Received Power (RSRP) which helps assess signal strength, throughput details i.e. data transfer rate, Channel Quality Indicator (CQI), and Signal to Interference plus Noise Ratio (SINR) which is the ratio of the signal level to the noise level (or simply the signal-to-noise ratio). By analysing and identifying these KPIs the network operators or user is able to optimize performance, improve coverage such as 5G coverage, and enhance overall service quality of the network.
[000112] At step 410, the method [400] comprises computing, by a
computational unit [308], the identified one or more KPIs by aggregating one or more values for one or more fields within the CSL data.

[000113] The computational unit [308] computes the identified one or more
KPIs by aggregating one or more values for one or more field within CSL data. The computational unit [308] may compute the identified KPI by summing/aggregating the one or more values, averaging the one or more values, and counting relevant data points to calculate one or more values such as traffic volume, call duration, and signal strength. The aggregated KPIs offer insights into network performance and user experience, aiding in network optimization and performance analysis.
[000114] The computational unit [308] processes the raw data collected from
multiple sources and calculates the KPIs by summing, averaging, or otherwise combining the data points related to network performance metrics. After the processing unit [306] identifies the key performance indicators (KPIs) from the raw CSL data, the computational unit [308] performs the calculations necessary to derive meaningful aggregated metrics from the CSL data which includes combining individual data points to generate a comprehensive view of network performance at different levels, such as per user, per cell, or per sector. For example, the computational unit [308] may aggregate data related to throughput by summing up the total data transmitted during multiple sessions for a particular user or across a specific cell site. Similarly, for signal strength, it might calculate the average RSRP value for a device over a given time period or compute the overall network performance by aggregating SINR values from various sessions. The aggregation allows the system to analyse trends and patterns, rather than relying on isolated data points, which provides a more accurate reflection of the user's experience and the network's performance. For example, if a device's CSL data shows multiple connection sessions in an area, the computational unit [308] will aggregate all the relevant KPI data from those sessions to provide a holistic view of the device’s performance. For example, if the device consistently experiences low signal strength across several sessions, the computational unit [308] will compute this into a single, aggregated KPI that highlights the issue. This aggregated data is critical for making decisions about network optimization, such as where to deploy additional 5G infrastructure or how to adjust existing network parameters.

[000115] The method [400] further comprises storing, by a storing unit [312],
the computed one or more KPIs at an International Mobile Subscriber Identity (IMSI) serving cell level.
[000116] The storing unit [312] stores the computed one or more KPIs at the
IMSI which serves as a unique number automatically generated and stored in the subscriber identity module (SIM) that identifies every subscriber on the serving cell level. In an exemplary aspect, the storing unit further stores KPIs associated with such as but not limited to International Mobile Equipment Identity (IMEI) which is unique 15 - 17 digit long number used for identifying valid devices, subscription permanent identifier (SUPI) which is a unique identifier that is assigned to each subscriber in the 5G network, which is provisioned in the unified data management (UDM)/ unified data repository (UDR). In an exemplary aspect, storing unit [312] may be an online database, an internal service provider’s database or may also act like a service provider’s lookup tool.
[000117] The storing unit [312] organizes and stores the data related to
computed one or more KPIs based on the specific user (identified by the IMSI) and the cell site or sector where the user’s device is connected. The IMSI is a unique identifier for each mobile user, allowing the system to track performance metrics on a per-user basis, while the serving cell information helps to associate those metrics with specific locations within the network. For example, if the system computes a KPI such as average throughput for a particular user, this data is stored in relation to both the user’s IMSI and the specific cell that was providing the service at the time. This approach allows the system to maintain a detailed record of network performance and user experience across different geographic locations, making it easier to analyse patterns in network usage and performance issues. It would be appreciated by the person skilled in the art that by storing the one or more KPIs at the IMSI-serving cell level, the system can also track how individual users experience network quality as they move between different cells or sectors. For example, if a user with a 5G-capable device moves through various areas covered by different 5G or 4G cells, the system will store the performance data for each of

those cells separately. It would be appreciated by the person skilled in the art that the granular level of storage helps the system identify specific areas where users might not be getting the expected level of service, enabling targeted improvements in the network.
[000118] At step 412, the method [400] comprises identifying, by a processing
unit [306], the one or more devices compatible with network technology service.
[000119] The processing unit [306] identifies the one or more devices
compatible with network technology service. In an exemplary aspect, the processing unit [306] identifies which devices are compatible with a specific network technology or service by analysing computed one or more KPIs, cross-referencing device capabilities with network technology requirements, and generating a list of compatible devices. This process helps in optimizing network performance, planning for upgrades, and enhancing user experience by ensuring that devices can effectively use the advanced features of the network.
[000120] The processing unit [306] analyses the data gathered from the CSL
logs and other sources to determine which devices have the capability to connect to and utilize a specific network technology, such as 5G. The processing unit [306] cross-references device-specific information, such as the Type Allocation Code (TAC), with a database of known device capabilities. The TAC, which is part of the device’s IMEI number, provides details about the make and model of the device, allowing the system to identify whether the device supports advanced network technologies like 5G. For example, if a user’s device is identified by its TAC as being 5G-capable, the processing unit [306] flags that device as compatible with 5G services. The capability assessment facilitates the system to differentiate between devices that should be able to access 5G but are not currently doing so, and those that lack the necessary hardware to connect to a 5G network. By identifying compatible devices, the system can focus on analysing why certain devices are not utilizing available 5G services, despite having the capability to do so.

[000121] In an exemplary aspect, the device capable of using the higher radio
technology generation is identified based on a Type Allocation Code (TAC) associated with each device.
[000122] In an exemplary aspect, TAC is extract from the IMEI number. In
an exemplary aspect, the first 8 digits of the IMEI number represent TAC, which identifies the model of each device. TAC associated with each device helps identify whether the device is capable of using higher radio technology generation i.e. whether the device is 4G, or 5G compatible. In an exemplary aspect, TAC codes are stored in the storing unit [312].
[000123] In an exemplary aspect, the processing unit [306] inputs the
extracted TAC into the storing unit [312]. The storing unit [312] may then return the corresponding handset information, such as the brand name, model number, information whether the device is 4G or 5G compatible and other specifications associated with the extracted TAC.
[000124] The method [400] further comprises displaying, by a display unit
[314] via a user interface [314a], an output result based on the identification of the one or more devices compatible with the network technology service.
[000125] The display unit [314] displays using the user interface [314a], the
output result based on the identification of the one or more devices compatible with the network technology service. In an exemplary aspect, the display unit [314] displays on the user interface (UI) [314a] a list of compatible 4G, or 5G devices.
[000126] The display unit [314] serves as the visual interface through which
users, such as network administrators or operators, can interact with the system and view the processed data. The output results shown on the display unit are derived from the system's analysis, specifically the identification of devices that are capable of connecting to advanced network technologies, such as 5G. For example, the display unit [314] might present a list or dashboard view of all the 5G-capable devices within a particular geographic area, along with details about their network

usage patterns, signal quality, and whether or not they are currently utilizing 5G services. This visual output allows network operators to quickly identify trends, such as clusters of 5G-capable devices that are still connecting to 4G, which could indicate areas where 5G coverage needs to be improved. The user interface [314a] can be designed to provide interactive features, enabling users to filter the data based on various criteria, such as location, device type, or network performance metrics. For example, a network operator might use the user interface [314a] to drill down into specific regions to see how many 5G-capable devices are active in those areas and assess their connection quality in real-time. The user interface [314a] could also offer graphical representations, such as maps or charts, to visualize network performance and device compatibility across the network.
[000127] Referring to FIG. 5, an exemplary block diagram of a system
architecture [500] for identifying one or more devices compatible with a network technology service, is shown, in accordance with the exemplary implementations of the present disclosure. The system architecture [500] comprises the database [304] (also referred to herein as master database (MDB) system [304]), the user interface [314a] (also referred to herein as user analytics system [314a]), and a trace collection entity (TCE) system [502] and a CP [504].
[000128] The system architecture [500] comprises the database [304] (also
referred to herein as master database system [304]) which stores call summary log (CSL) data and cell deployment data. In an exemplary aspect, the receiving unit [302] receives the cell deployment data from the database [304]. In an exemplary aspect, cell deployment data includes data about the network infrastructure, specifically the locations and configurations of cells, sites and sectors. The cell deployment data may provide data about availability of network services and their geographical distribution.
[000129] In an exemplary aspect, database [304] stores the cell deployment
data which is at least of site based or sector-based data. In an exemplary aspect, site-based data includes such as but not limited only to data about the physical

locations of network sites (e.g., cell towers or base stations). the geographic coordinates i.e. latitude and longitude of each site of network sites, site identity (ID), type of equipment, network deployment details to check whether 4G or 5G is deployed in a given location, coverage area of each site, which may include range and signal strength etc.
[000130] In an exemplary aspect, sector-based data provides detailed
information about the divisions within each site. A single site may be divided into multiple sectors, each with its own set of antennas and coverage patterns. The sector-based data may include such as but not limited to data related to sector identity (ID), data on the coverage area for each sector, including the sector's specific angle and range, data related to capacity of each sector, data related to traffic loads of each sector, data related to signal quality in each sector etc.
[000131] In an exemplary aspect, the system architecture [500] further
comprises the trace collection entity [502] that contains the IPv4 or IPv6 address that helps network administrator to login onto the system using unique username and password. In an exemplary aspect, the network administrator uses user interface [314a] to log on to the system for further assessing the identified KPIs which helps in identifying which devices are compatible with a specific network technology or service by analysing computed one or more KPIs, cross-referencing device capabilities with network technology requirements, and generating a list of compatible devices. In an exemplary aspect, there are two important functions of TCE, trace data collection and data aggregation. In trace data collection, the TCE server gathers trace data from different network elements like eNodeBs (in 4G) and gNodeBs (in 5G). This data includes signalling messages data, performance metrics data, and other relevant information. In data aggregation, after collecting the trace data, the TCE server aggregates it to provide a comprehensive view of the network's performance. This aggregated data can be used to analyse network performance, detect anomalies, and troubleshoot issues. The present invention uses this aggregated data (CSL).

[000132] In an exemplary aspect, the cognitive platform (CP) [504] is an
analytics platform which helps network administrator or user perform analytics and calculations. In an exemplary aspect, cognitive platform (CP) [504] checks the KPIs for the identified devices capable of higher technology i.e. capable of handling 5G, 6G technology services, to check their usage requirements and network condition.
[000133] The present disclosure further discloses a non-transitory computer
readable storage medium storing instructions for identifying one or more devices compatible with a network technology service, the instructions include executable code which, when executed by one or more units of a system, causes a receiving unit [302] to receive a call summary log (CSL) data from a plurality of sources. The instructions when executed further causes the receiving unit [302] to receive a cell deployment data from a database [304], the cell deployment data is at least one of site based or sector based. The instructions when executed further causes a processing unit [306] to identify one or more key performance indicators (KPIs) from the CSL data. The instructions when executed further causes a computational unit [308] to compute the identified one or more KPIs by aggregating one or more values for one or more fields within the CSL data. The instructions when executed further causes a processing unit [306] to identify the one or more devices compatible with network technology service.
[000134] As is evident from the above, the present disclosure provides a
technically advanced solution for identifying one or more devices compatible with a network technology service. The present invention provides a solution for identifying devices with capability of using higher technology generation services but using lower technology generation services. By implementing the features of the present invention, one is able to use call session records/logs data for analysing the reason for the devices capable of using higher technology generation services but using lower technology generation services.
[000135] Further, in accordance with the present disclosure, it is to be
acknowledged that the functionality described for the various the components/units

can be 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 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
[000136] While considerable emphasis has been placed herein on the
disclosed implementations, it will be appreciated that many implementations can be made and 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.

We Claim:
1. A method for identifying one or more devices compatible with a network
technology service, the method comprising:
receiving, by a receiving unit [302], a call summary log (CSL) data from a
plurality of sources;
receiving, by the receiving unit [302], a cell deployment data from a
database [304], the cell deployment data is at least one of site based or sector
based;
identifying, by a processing unit [306], one or more key performance
indicators (KPIs) from the CSL data;
computing, by a computational unit [308], the identified one or more KPIs
by aggregating one or more values for one or more fields within the CSL
data; and
identifying, by the processing unit [306], the one or more devices
compatible with network technology service.
2. The method as claimed in claim 1, wherein the method comprises storing, by a storing unit [312], the computed one or more KPIs at an International Mobile Subscriber Identity (IMSI) serving cell level.
3. The method as claimed in claim 1, wherein the one or more KPIs comprises at least one of usage metrics and experience metrics, and wherein the usage metrics comprises Traffic details, Duration details, Session count details, and Experience metrics comprises RSRP details, Throughput details, CQI details, and SINR details.
4. The method as claimed in claim 1, the method further comprising:
- displaying, by a display unit [314] via a user interface [314a], an output result based on the identification of the one or more devices compatible with the network technology service.

5. The method as claimed in claim 1, wherein the one or more devices compatible with the network technology service is identified based on a Type Allocation Code (TAC) associated with each device.
6. A system for identifying one or more devices compatible with a network technology service, the system comprising:
- a receiving unit [302] configured to:
o receive a call summary log (CSL) data from a plurality of
sources; o receive a cell deployment data from a database [304], the cell
deployment data is at least one of site based or sector based;
- a processing unit [306] configured to identify one or more key performance indicators (KPIs) from the CSL data;
- a computational unit [308] configured to compute the identified one or more KPIs by aggregating one or more values for one or more fields within the CSL data; and
- the processing unit [306] configured to identify the one or more devices compatible with network technology service.

7. The system as claimed in claim 6, wherein the system comprises a storing unit [312] configured to store the computed one or more KPIs at an International Mobile Subscriber Identity (IMSI) serving cell level.
8. The system as claimed in claim 6, wherein the one or more KPIs comprises at least one of usage metrics and experience metrics, and wherein the usage metrics comprises Traffic details, Duration details, Session count details, and Experience metrics comprises RSRP details, Throughput details, CQI details, and SINR details.
9. The system as claimed in claim 6, the system further comprising:

- a display unit [314] configured to display, via a user interface [314a], an output result based on the identification of the one or more devices compatible with the network technology service.
10. The system as claimed in claim 6, wherein the one or more devices compatible with the network technology service are identified based on a Type Allocation Code (TAC) associated with each device.