WO2025027654A1

WO2025027654A1 - System and method for providing visualization of a network performance and subscriber activity within the network

Info

Publication number: WO2025027654A1
Application number: PCT/IN2024/051430
Authority: WO
Inventors: Aayush Bhatnagar; Ankit Murarka; Gaurav Saxena; Meenakshi Shobharam; Mohit Bhanwria; Vinay Gayki; Durgesh KUMAR; Shashank Bhushan; Aniket Anil Khade; Jugal Kishore Kolariya; Rahul Verma; Gaurav Kumar; Sunil Meena; Kishan Sahu; Supriya De; Debashish Kumar; Mehul Tilala; Vineet Bhandari; Jainam Gandhi; Suvadeep Ghosh
Original assignee: Jio Platforms Ltd
Current assignee: Jio Platforms Ltd
Priority date: 2023-08-02
Filing date: 2024-08-01
Publication date: 2025-02-06
Anticipated expiration: 2026-02-02

Abstract

The present disclosure provides system and method (400) for providing visualization of a network performance and subscriber activity within a network (106). A request for obtaining the network performance summary and subscriber activity is sent through a user interface to a workflow engine (212) via a user interface. The method workflow engine (212) determines subscriber details along with one or more predetermined filters and forwards them along with the request to a computation layer engine. The extracting computation layer engine extracts subscriber data along with connected network data from a distributed file system (234) based on the subscriber details and the one or more predetermined filters and forwards to the workflow engine which generates a network map for providing an overview of the network performance summary and the subscriber activity. The generated network map is rendered to the user via a user interface.

Description

SYSTEM AND METHOD FOR PROVIDING VISUALIZATION OF A NETWORK PERFORMANCE AND SUBSCRIBER ACTIVITY WITHIN THE NETWORK

RESERVATION OF RIGHTS

[0001] A portion of the disclosure of this patent document contains material, which is subject to intellectual property rights such as, but are not limited to, copyright, design, trademark, Integrated Circuit (IC) layout design, and/or trade dress protection, belonging to Jio Platforms Limited (Jio) or its affiliates (hereinafter referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner.

FIELD OF DISCLOSURE

[0002] The embodiments of the present disclosure generally relate to wireless communications. In particular, the present disclosure relates to a system and a method for providing visualization of a network performance and a subscriber activity within a network.

DEFINITIONS

[0003] As used herein the term “one or more predetermined filters” refers to data filters that filter the subscribers based on subscribers' custom data field(s).

[0004] The “subscriber details” refers to information such as, name, street address, telephone number, email address, or similar contact information provided by the subscriber to the provider to establish or maintain an account or communication channel, a subscriber or account number or identifier, the length of service, and the types of services.

[0005] The “network performance metrics” refers to quantitative measurements used to evaluate and monitor the performance and reliability of a computer network. The performance of a network and reliability can be measured by various metrics, such as bandwidth, latency, jitter, packet loss, throughput, error rate, uptime, downtime, and mean time to repair. Each metric reflects a different aspect of network's functionality and quality.

[0006] As used herein the term “subscriber data” may refer to for example, all the necessary information the system ought to know to perform the service, including but not limited to, user identities mobile station international subscriber directory number (MSISDN), international mobile equipment identity (IMEI) number, international mobile subscriber identity (IMSI), and subscriber permanent identifier (SUPI), temporary data such as SGSN (serving GPRS support node) address, user status, and authentication data. This subscriber data has a lifetime as long as the user is permitted to use the service and may be modified by administrative means.

[0007] The “aggregated network data” refers to raw data expressed in a summary form for statistical analysis. For example, raw data can be aggregated over a given time period to provide statistics such as average, minimum, maximum, sum, and count. After the data is aggregated and written to a view or report, the aggregated data can be analysed to gain insights about particular resources or resource groups.

[0008] The “cell mapping information” includes information associated with location wireless quality information including a base station identifier to identify the base station to which the UE is connected, a cell identifier to identify the service cell of the base station to which the UE is connected, and the geographical location of the UE connected to the service cell of the base station. The cell mapping information also includes information specifying a geographic location served by the service cell based on the location information.

BACKGROUND OF DISCLOSURE

[0009] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. How- ever, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.

[0010] Currently, there are no graphical tools or visual representation mechanisms available for presenting a network performance overview, and a subscriber’s activity within a network. This prevents to capture, determine, and present information such as availability of the number of connected subscribers in the network, failure rate of the connected subscribers, and tracking movement of the subscriber across the network. Further, due to lack of availability of a graphical representation, information related to additional data attributes of network elements are not promptly determined.

[0011] There is, therefore, a need in the art to provide a dedicated visual presentation means that uses a network map to visually present the overview of the network performance and activity of the subscriber(s).

SUMMARY

[0012] In an exemplary embodiment, a method for providing visualization of a network performance and a subscriber activity within a network is described. The method includes sending, by a user, a request, through a user interface, for obtaining network performance summary and subscriber activity to a user interface server associated with a user interface. The request comprises at least one of user provided subscriber details and one or more predetermined filters. The method further includes sending the request from the user interface to the user interface server, and forwarding the request to a workflow engine. The method further includes forwarding, from the workflow engine, the request along with user-provided subscriber details and one or more predetermined filters to a computation layer engine associated with the workflow engine. The subscriber details correspond to information associated with one or more subscribers connected to cell towers. The method further includes extracting, by the computation layer engine, subscriber data along with connected network data from a distributed file system based on the request, the subscriber details and the one or more predetermined filters received from the workflow engine. The method further includes sending, by the computation layer engine, the extracted subscriber data with connected network data to the workflow engine via a distributed data lake, where the distributed data lake stores the extracted subscriber data and the connected network data. The method further includes estimating, by the workflow engine, a user equipment (UE) location in terms of at least one of a latitude and a longitude, and generating a network map based on the extracted subscriber data and the connected network data received from the computation layer engine. The workflow engine communicates the generated network map providing an overview of the network performance summary and the subscriber activity to the user interface server. The method further includes rendering, by the user interface server, the generated network map to the user interface based on the request.

[0013] In some embodiments, extracting subscriber data along with connected network data from a distributed file system includes enriching at least one of raw data or aggregated network data, using a normalizer, using the raw data and aggregated network data for extracting subscriber data along with connected network data, and storing at least one of the raw data or the aggregated network data, in the distributed file system for use by the computation layer engine.

[0014] In some embodiments, the generated network map includes a plurality of details including at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers and the distributed data lake stores the extracted subscriber data and the connected network data

[0015] In another exemplary embodiment, a system for providing visualization of a network performance and subscriber activity within the network is described. The system includes a user interface for receiving a request from a user for obtaining the network performance summary and the subscriber activity. The system further includes a workflow engine for estimating subscriber details including user equipment (UE) location in one or more terms of at least one of a latitude and a longitude, and generating a network map and forwarding the request along with subscriber details and one or more filters in response to the request. The system further includes a computation layer engine for extracting subscriber data along with connected network data from a distributed file system and sending the extracted subscriber data along with connected network data to the workflow engine via a distributed data lake.

[0016] In some embodiments, the system further includes a normalizer configured to enrich raw data and store the raw data in the distributed file system for use by the computation layer engine.

[0017] In some embodiments, the workflow engine generates a network map includes a plurality of details including at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.

[0018] In yet another exemplary embodiment, a computer program product comprising a non-transitory computer-readable medium is described. The non-transitory computer- readable medium comprises instructions that, when executed by one or more processors, cause the one or more processors to perform a method.

[0019] The method includes sending, by a user, a request, through a user interface, for obtaining network performance summary and subscriber activity to a user interface server associated with a user interface. The method further includes sending the request from the user interface server to a workflow engine associated. The method further includes forwarding, from the workflow engine, the request along with subscriber details and one or more predetermined filters to a computation layer engine associated with the workflow engine. The subscriber details may correspond to information associated with one or more subscribers connected to cell towers. The method further includes extracting, by the computation layer engine, subscriber data along with connected network data from a distributed file system based on the request, the subscriber details and the one or more predetermined filters received from the workflow engine. The method further includes sending, by the computation layer engine, the extracted subscriber data with connected network data to the workflow engine via a distributed data lake, where the distributed data lake stores the extracted subscriber data and the connected network data. The method further includes generating, by the workflow engine, a network map based on the extracted subscriber data and the connected network data received from the computation layer engine. The method further includes communicating, by the workflow engine, the generated network map providing an overview of the network performance summary and the subscriber activity to the user interface server. The method further includes rendering, by the user interface server, the generated network map on the user interface based on the request.

[0020] In yet another exemplary embodiment, a user equipment (UE) configured for providing visualization of a network performance and subscriber activity within a network is described. The user equipment includes a processor and a computer readable storage medium storing programming for execution by the processor. The programming includes instructions to send by a user, a request, through a user interface, for obtaining network performance summary and subscriber activity to a user interface server associated with a user interface, send the request from the user interface server to a load balancer unit associated with the user interface server, and forward the request form the load balancer unit to a workflow engine associated with the load balancer unit, forward from the workflow engine, the request along with subscriber details and one or more predetermined filters to a computation layer engine associated with the workflow engine, extract by the computation layer engine, subscriber data along with connected network data from a distributed file system based on the request, the subscriber details and the one or more predetermined filters received from the workflow engine. The programming also includes instructions to send the extracted subscriber data with connected network data to the workflow engine via a distributed data lake, where the distributed data lake stores the extracted subscriber data and the connected network data, estimate a user equipment (UE) location in terms of at least one of a latitude and a longitude, and generating a network map based on the extracted subscriber data and the connected network data received from the computation layer engine, forward the generated network map providing an overview of the network performance summary and the subscriber activity to the load balancer unit, and forward the generated network map to the user interface and render the generated network map to the user via the user interface. [0021] The foregoing general description of the illustrative embodiments and the following detailed description thereof are merely exemplary aspects of the teachings of this disclosure, and are not restrictive.

OBJECTS OF THE PRESENT DISCLOSURE

[0022] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.

[0023] An object of the present disclosure is to provide a visual presentation means that uses a network map to represent a network performance summary and a subscriber journey.

[0024] An object of the present disclosure is to provide a comprehensive overview of the network performance and subscriber activity through an intuitive visual representation based on the network map.

[0025] An object of the present disclosure is to enable quick evaluation of network health by identifying areas of concern such as, but not limited to, high failure rates and significant subscriber count.

[0026] An object of the present disclosure is to is to visualize subscriber movement patterns on the network map to identify areas for network improvements.

[0027] An object of the present disclosure is to allow easy access to important data attributes of the network and provide a handover summary for informed decision-making and proactive network management.

[0028] An object of the present disclosure is to improve operational efficiency of the network by enabling effective troubleshooting and providing optimized resource allocation for an enhanced subscriber experience.

[0029] An object of the present disclosure is to visualize summary of connected g Node B’s (gNBs) such as, but not limited to, failure rates, connected subscribers, and the like.

BRIEF DESCRIPTION OF DRAWINGS [0030] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes the disclosure of electrical components, electronic components or circuitry commonly used to implement such components.

[0031] FIG. 1 illustrates an exemplary network architecture for implementing a system for providing visualization of a network performance and a subscriber activity within the network, in accordance with an embodiment of the present disclosure.

[0032] FIG. 2A illustrates an exemplary block diagram of a system for tracking the network performance summary and the subscriber activity within a network, in accordance with an embodiment of the present disclosure.

[0033] FIG. 2B illustrates a flowchart representing a series of steps for creating a visual presentation to present the network performance summary and the subscriber activity within the network, in accordance with an embodiment of the present disclosure.

[0034] FIG. 3 illustrates an exemplary process flow representing providing visualization of network performance and the subscriber activity within the network, in accordance with an embodiment of the present disclosure.

[0035] FIGS. 4 illustrates a flowchart of a method for providing visualization of the network performance and the subscriber activity within the network, in accordance with an embodiment of the present disclosure.

[0036] FIG. 5 illustrates a computer system in which or with which the embodiments of the present disclosure may be implemented.

[0037] The foregoing shall be more apparent from the following more detailed description of the disclosure. LIST OF REFERENCE NUMERALS

100 - Network architecture

102-1, 102-2... 102-N - Users

104-1, 104-2... 104-N - User equipment

106 - Network

108- System

200- Block Representation of System

202- Processor

204- Memory

206- User Interface

208- Load Balancer Unit

210- Database

212- Workflow Engine

214- Computation Layer Engine

216- Normalizer

218- Method

220-Step

222-Step

224-Step

226-Step

228-Step

230-Step

232-Distributed Data Lake

234-Distributed File System

300-Implementation of the System

302- User

303-User Interface Server

304-Step 306-Step

308-Step

310-Step

311-Step

312-Step

313-Raw Network Data

314-Step

316-Step

318-Step

320-Step

322-Step

324-Step

326-Step

400-Method

402-Step

404-Step

406-Step

408-Step

410-Step

412-Step

414-Step

416-Step

500- Computer system

510- External storage device

520- Bus

530- Main memory

540- Read only memory

550- Mass Storage Device

560- Communication Port 570- Computer System Processor

DETAILED DESCRIPTION OF THE DISCLOSURE

[0038] In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein.

[0039] 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.

[0040] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the embodiments.

[0041] 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 dia- gram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.

[0042] 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.

[0043] Reference throughout this specification to “one embodiment” or “an embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0044] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms “a,” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes all combinations of one or more of the associated listed items. [0045] The aspects of the present disclosure are directed to a method and system for generating/tracking a network performance summary and a subscriber activity within a network. The system of the present disclosure provides a visual presentation of an overview of network performance and the subscriber activity using a network map. The visual presentation may present a concise report of connected gNodeBs (gNBs). For a specific gNB, the report may include information about but not limited to, failure rate and number of connected subscribers. By utilizing location estimation for a User Equipment (UE), and map layers generated based on cell coverage, a user interface (UI), for example, in the form of a dashboard may visually represent the subscriber’s journey, their movement across different cells, and the like. Further, essential data attributes of the network like volume and handover summary may be displayed on a map layer.

[0046] In an embodiment, the disclosed system and method facilitates integrating network enriched data from a normalizer with a visual representation. The integration involves collecting and aggregating relevant network performance data and subscriber information.

[0047] In an embodiment, the disclosed system and method enables designing an intuitive and user-friendly interface which allows users to easily navigate and access desired information on the network map.

[0048] In another embodiment, the disclosed system and method provides a dynamic display for presenting summary of the connected gNBs. When a user selects a specific gNB on the map, the visual representation may be dynamically updated to show key metrics representing information such as failure percentage, connected subscribers, and other pertinent information specific to that gNB. [0049] In yet another embodiment, the disclosed system and method provides User Equipment (UE) location estimation and corresponding cell mapping information. The cell mapping information includes information associated with a base station identifier to identify the base station to which the UE is connected, a cell identifier to identify the service cell of the base station to which the UE is connected, and the geographical location of the UE connected to the service cell of the base station. The cell mapping information also includes information specifying a geographic location served by the service cell based on the location information and maps the service cell to the geographic cell according to the specified geographic location. UE location estimation techniques (e.g., utilizing Latitude (LAT)/Longitude (LONG) data) are implemented and a cell coverage map layer is generated which involves use of algorithms and methodologies to accurately estimate subscriber locations and map their journey onto the network map. In addition, the journey of the user along with their movement across different cells is represented visually.

[0050] In yet another embodiment, the disclosed system and method facilitates a raw data attribute integration, where critical attributes such as volume, handover summary, and other relevant information from raw records are integrated onto a map layer. This may allow the users to access and analyze detailed data directly on the network map, enhancing their understanding of the network performance and subscriber behaviour.

[0051] As may be appreciated, the visual representation may be effectively used to display the comprehensive network performance summary to enable subscriber journey visualization, display of dynamic gNB summaries upon selection, leveraging the UE location estimation for accurate mapping, and integrating important raw data attributes for providing enhanced insights.

[0052] The various embodiments throughout the disclosure will be explained in more detail with reference to FIGs. 1-5.

[0053] Referring to FIG. 1, FIG. 1 illustrates an exemplary network architecture for implementing a system for tracking a network performance summary and subscriber activity within the network, in accordance with an embodiment of the present disclosure.

[0054] Referring to FIG. 1, a network architecture (100) may include one or more computing devices or user equipment (104-1, 104-2... 104-N) (used interchangeably with the term “user device”) associated with one or more users (102-1, 102-2... 102-N) in an environment. A person of ordinary skill in the art will understand that one or more users (102-1, 102-2... 102-N) may be individually referred to as the user (102) and collectively referred to as the users (102). Similarly, a person of ordinary skill in the art will understand that one or more user equipment (104-1, 104-2... 104-N) may be individually referred to as the user equipment (104) and collectively referred to as the user equipment (104). A person of ordinary skill in the art will appreciate that the terms “computing device(s)” and “user equipment” may be used interchangeably throughout the disclosure. Although two user equipment (104) are depicted in FIG. 1, however any number of the user equipment (104) may be included without departing from the scope of the ongoing description.

[0055] In an embodiment, the user equipment (104) may include, but is not limited to, a handheld wireless communication device (e.g., a mobile phone, a smart phone, a phablet device, and so on), a wearable computer device (e.g., a head-mounted display computer device, a head-mounted camera device, a wristwatch computer device, and so on), a global positioning system (GPS) device, a laptop computer, a tablet computer, or another type of portable computer, a media playing device, a portable gaming system, and/or any other type of computer device with wireless communication capabilities, and the like. In an embodiment, the user equipment (104) may include, but is not limited to, any electrical, electronic, electro-mechanical, or an equipment, or a combination of one or more of the above devices such as virtual reality (VR) devices, augmented reality (AR) devices, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer, mainframe computer, or any other computing device, where the user equipment (104) may include one or more in-built or externally coupled accessories including, but not limited to, a visual aid device such as a camera, an audio aid, a microphone, a keyboard, and input devices for receiving input from the user ( 102) or the entity such as touch pad, touch enabled screen, electronic pen, and the like. A person of ordinary skill in the art will appreciate that the user equipment (104) may not be restricted to the mentioned devices and various other devices may be used.

[0056] In an embodiment, the user equipment (104) may include smart devices operating in a smart environment, for example, an Internet of Things (loT) system. In such an embodiment, the user equipment (104) may include, but is not limited to, smart phones, smart watches, smart sensors (e.g., mechanical, thermal, electrical, magnetic, etc.), networked appliances, networked peripheral devices, networked lighting system, communication devices, networked vehicle accessories, networked vehicular devices, smart accessories, tablets, smart television (TV), computers, smart security system, smart home system, other devices for monitoring or interacting with or for the users (102) and/or entities, or any combination thereof. A person of ordinary skill in the art will appreciate that the user equipment (104) may include, but is not limited to, intelligent, multi-sensing, network-connected devices, that can integrate seamlessly with each other and/or with a central server or a cloud-computing system or any other device that is network-connected.

[0057] Referring to FIG. 1, the user equipment (104) may communicate with the system (108) through a network (106). In an embodiment, the network (106) may include at least one of a Fifth Generation (5G) network, 6G network, or the like. The network (106) may enable the user equipment (104) to communicate with other devices in the network architecture (100) and/or with the system (108). The network (106) may include a wireless card or some other transceiver connection to facilitate this communication. In another embodiment, the network (106) may be implemented as, or include any of a variety of different communication technologies such as a wide area network (WAN), a local area network (LAN), a wireless network, a mobile network, a virtual private network (VPN), the Internet, the public switched telephone network (PSTN), or the like. In an embodiment, each of the UE (104) may have a unique identifier attribute associated therewith. In an embodiment, the unique identifier attribute may be indicative of mobile station international subscriber directory number (MSISDN), international mobile equipment identity (IMEI) number, international mobile subscriber identity (IMSI), subscriber permanent identifier (SUPI) and the like.

[0058] Although FIG. 1 shows exemplary components of the network architecture (100), in other embodiments, the network architecture (100) may include fewer components, different components, differently arranged components, or additional functional components than depicted in FIG. 1. Additionally, or alternatively, one or more components of the network architecture (100) may perform functions described as being performed by one or more other components of the network architecture (100).

[0059] FIG. 2A illustrates a block diagram representation (200) of the system (108) for tracking a network performance summary and subscriber activity within a network, according to an embodiment of the present invention. In an aspect, the system (108) may include one or more processor(s) (202) and a memory (204). The one or more processor(s) (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other capabilities, the one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the system (108). The memory (204) may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory (204) may include any non-transitory storage device including, for example, volatile memory such as random-access memory (RAM), or non-volatile memory such as erasable programmable read-only memory (EPROM), flash memory, and the like.

[0060] The memory (204) may include, for example, a hard disk drive and/or a removable storage drive, representing a floppy disk drive, a magnetic tape drive, a compact disk drive, a program cartridge and cartridge interface (such as that found in video game devices), a removable memory chip (such as EPROM or PROM), and the like, which is read by and written to by removable storage unit. As will be appreciated, the removable storage unit includes a computer usable storage medium having stored therein computer software and/or data. The removable storage drive reads from and/or writes to a removable storage unit in a well-known manner. The removable storage unit, also called a program storage device or a computer program product, represents a floppy disk, magnetic tape, compact disk, etc. The computer programs (also called computer control logic) are stored in main memory (204). Such computer programs, when executed, enable the system (108) to perform the functions of the present disclosure as discussed herein. In particular, the computer programs, when executed, enable the one or more processor (202) to perform the functions of the present disclosure. Accordingly, such computer programs represent controllers of the system (108).

[0061] Referring to FIG. 2, the system (108) may also include a user interface(s) (206). The user interface(s) (206) may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as RO devices, storage devices, and the like. The user interface(s) (206) may facilitate communication to/from the system (108). The user interface(s) (206) may also provide a communication pathway for one or more components of the system (108). Examples of such components include, but are not limited to, a database (210).

[0062] In an embodiment, the system (108) may include the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine -readable storage medium may be separate but accessible to the system (108) and the processing resource. In other examples, the system (108) may be implemented by electronic circuitry.

[0063] In an embodiment, the system (108) may include one or more databases such as databases (210). In an embodiment, the database (210) includes data that may be either stored or generated because of functionalities implemented by any of the components of the processor (202) or the processing engines (208). In an embodiment, the database (210) may be separate from the system (108). In an embodiment, the database (210) may be indicative of including, but not limited to, a relational database, a distributed database, distributed file sharing system, a cloud-based database, or the like.

[0064] In an exemplary embodiment, the system (108) may include one or more engines selected from any of a load balancer unit (208), a work flow engine (212), a computation layer engine (214), a normalizer (216), and one or more other engines having functions that may include, but are not limited to, testing, storage, and peripheral functions, such as wireless communication unit for remote operation, audio unit for alerts and the like, as described in FIG. 3.

[0065] The user interface (206) is configured for receiving a request from user for obtaining network performance summary and subscriber journey. As used herein the term “network performance summary” refers to a comprehensive summaries or analyses of measures of service quality of a network as seen by the customer. There are many different ways to measure the performance of a network, as each network is different in nature and design. The network performance metrics are quantitative measurements used to evaluate and monitor the performance and reliability of a computer network. In several embodiments, the various modules associated with embodiments of the present disclosure, such as the load balancer unit (208), the workflow engine (212), the computation layer engine (214) and the normalizer (216) may be implemented as a hardware. In several other embodiments the modules may be implemented as computer executable modules. The load balancer unit (208) is configured for forwarding the request to the workflow engine (212) and forwarding a generated network map providing an overview of the network performance summary and a subscriber activity to the user interface (206). In several embodiments, the load balancer unit (208) monitors network traffic while blocking malicious content and automatically redirects attack traffic to multiple backend servers to minimize impact. The load balancer unit (208) also routes traffic through a group of network firewalls for additional security. The workflow engine (212) is configured for forwarding the request along with subscriber details and one or more predetermined filters. The subscriber details correspond to information associated with one or more subscribers connected to cell towers. The one or more predetermined filters refers to properties of a subscriber that enables that subscriber to receive only that content that meets certain criteria. The predetermined filters can be used to exclude content that the subscriber is not interested in, or that the subscriber's computing resources cannot handle. The predetermined filters can be defined based on the entry type, or one or more name/value pairs that are defined for the content. The predetermined filters enable the subscriber to receive all the content that meets the filter criteria, or an exclude filter, which means that the subscriber receives all content that does not meet the filter criteria. The workflow engine (212) estimates user equipment (UE) location in one or more terms of at least one of: a latitude and a longitude, and generates a network map. The computation layer engine (214) is configured for extracting subscriber data along with connected network data from a distributed file system (234) and sending the extracted subscriber data along with connected network data to the workflow engine (212) via a distributed data lake. (232) According to one embodiment of the present technology, the system further comprises a normalizer (216) to enrich raw data and store the raw data in the distributed file system (234) for use by the computation layer engine (214). According to one embodiment of the present technology, the workflow engine (212) generates the network map including a plurality of details comprising at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.

[0066] FIG. 2B illustrates a flowchart (218) representing a series of steps for creating a visual presentation means to present an overview of the network performance and subscriber activity within the network, according to an embodiment of the present disclosure.

[0067] At step (220), the process begins.

[0068] At step (222), a request for subscriber journey and network performance summary is sent.

[0069] As is illustrated, at step (224), data from various sources within a network infrastructure may be collected. This may include information from base stations called the gNBs, and records related to the UE activities such as location, handovers, and volume of data, and the like. The data may be such as raw data or aggregated network data received from the distributed file system (234) that stores enriched data as received from the normalizer (216). The aggregated network data refers to raw data expressed in a summary form for statistical analysis. For example, raw data can be aggregated over a given time period to provide statistics such as average, minimum, maximum, sum, and count. After the data is aggregated and written to a view or report, you can analyze the aggregated data to gain insights about particular resources or resource groups.

[0070] At step (226), the location of the user equipment (UE) latitude/longitude (LAT/LOG) may be estimated by the workflow engine (212) (used interchangeably throughout with the term “workflow manager”) based on a signal strength and estimation of nearby connected cell towers.

[0071] At step (228), for a given time range, all data points for the subscriber and connected network data may be collected. This is accompanied with generation of the network map layer. As used herein the term subscriber data may refer to for example, all the necessary information the system ought to know to perform the service such as user identities (e.g., MSISDN, IMSI), service data (e.g., service profile in IMS), temporary data such as the SGSN (serving GPRS support node) address, user status, and authentication data. This subscriber data has a lifetime as long as the user is permitted to use the service and may be modified by administrative means. Following is an example of data points for a given time range:

Subscriber usage per month: 150 minutes

Days per month: 24

Busy hours per day: 6

Allocated spectrum: 4.8 MHz

Frequency reuse plan: 4/12

RF channel width: 200 kHz (full rate)

Present number of subscribers in a zone: 50,000 [0072] In addition, at step (230), information related to a cell coverage map layer generation, the subscriber journey with cell mapping along with other attributes is stored in a distributed data lake (232) to provide a visual representation for analyzing the aggregated information.

[0073] FIG. 3 illustrates an exemplary process flow (300) representing a method of tracking of the network performance and subscriber activity within a network, in accordance with an embodiment of the present disclosure.

[0074] In an embodiment, data from various sources within a network infrastructure may be collected. The data may include information from base stations called the gNBs, and records related to the UE activities such as location, handovers, and volume of data. The UI may display a network map that shows locations of the gNBs. When a specific gNB is selected, relevant metrics associated with that gNB are displayed. These metrics may include a failure rate (indicating how often the gNB encounters issues), and the number of connected subscribers at that gNB. Also, the UE location estimation techniques may be used to determine an approximate location of each connected subscriber. This information is crucial for mapping subscriber’s movement across different cells within the network.

[0075] Further, based on the coverage areas of the gNBs and the estimated UE locations, the UI may generate map layers that visually represent the subscriber’s journey. These layers may indicate the cells that the subscribers have moved through by providing a visual representation of their movement. Along with the map layers, the user interface (UI) may provide easy access to essential data attributes. This may include information like volume (e.g., indicating an amount of data transferred) and handover summaries (e.g., showing a number of times the UE switched between cells) extracted from the raw records. The relevant information may be displayed on the map layer, allowing the users to see the data attributes at specific locations.

[0076] Also, network performance metrics, subscriber activity data, and visual representation may be combined to provide a comprehensive overview of network perfor- mance and subscriber behavior. The visual representation may allow the users to analyze and understand the network status, identify potential issues, and optimize network performance based on the displayed information.

[0077] Further, a comprehensive overview of the network performance and subscriber activity may be provided through an intuitive visual representation, and the network map is provided for quick evaluation of network health and identifying areas of concern, such as high failure rates and significant subscriber count. The visual representation facilitates to visualize subscriber movement patterns on the map to identify areas for network improvements by providing easy access to important data attributes for informed decision-making and proactive network management. This provides an improved efficiency, effective troubleshooting, and optimized resource allocation for an enhanced subscriber experience.

[0078] Referring to FIG. 3, at step (304), a user (302) may send a request for obtaining network performance summary and subscriber journey to a user interface server (303). The user interface (206) may receive the request from the user for obtaining the network performance summary and the subscriber journey.

[0079] At step (306), the request may be sent to the load balancer unit (208), which may forward the request to an appropriate workflow engine (212) (for example, xProbe, the xProbe is a network monitoring tool that provides and manages the workflow, and provides visual insights of network), at step (308). As used herein the term “network performance summary” refers to a comprehensive summaries or analyses of measures of service quality of a network as required by a customer. There are many different ways to measure the performance of a network, as each network is different in nature and design. The network performance metrics are quantitative measurements used to evaluate and monitor the performance and reliability of a computer network. The performance of a network and reliability can be measured by various metrics, such as bandwidth, latency, jitter, packet loss, throughput, error rate, uptime, downtime, and mean time to repair. Each metric reflects a different aspect of your network's functionality and quality. [0080] At step (310), the workflow engine (212) may forward the request along with subscriber details and one or more predetermined filters to the computation layer engine (214).

[0081] At step (311), the workflow engine (212) collects information associated with the subscribers connected to the cell towers, time, and UE positions (such as latitude and longitude).

[0082] At step (312), the computation layer engine (214), may extract subscriber data along with connected network data from the distributed file system (234). In some embodiments, the normalizer (216) may enrich raw network data (313) at steps (314), (316) and store it in the distributed file system (234) for subsequent use by the computation layer engine (214).

[0083] The computation layer engine (214) extracts the subscriber data along with connected network data from the distributed file system (234) and sends the extracted subscriber data along with connected network data to the workflow engine (212) via a distributed data lake (232).

[0084] At step (318), the computation layer engine (214) may send the computed data, i.e., the extracted subscriber data along with connected network data to the workflow engine (212) via the distributed data lake (232).

[0085] Thereafter, at step (320), the workflow engine (212), based on the computed data from the computation layer engine (214), may estimate UE location in terms of latitude and longitude and generate a network map.

[0086] The workflow engine (212) may generate a network map providing all relevant details, i.e., connected gNBs, subscriber details, cell towers, etc.

[0087] At step (322) and (324), the generated network map providing an overview of the network performance summary and the subscriber journey may be provided to the user interface (206), and finally, to the user (302), via the load balancer unit (208).

[0088] FIG. 4 illustrate a flowchart of a method (400) for tracking a network performance summary and subscriber activity within the network, according to an embodiment of the present invention. [0089] At step (402), a request is sent by a user through the user interface (206), to a user interface server associated with the user interface (206). The request is for obtaining the network performance summary and subscriber journey. In examples, the request may include information seeking network map covering a network performance summary and subscriber activities. For example, the request includes at least one of user-provided subscriber details and one or more predetermined filters.

[0090] At step (404), the request is sent from the user interface server to the workflow engine (212).

[0091] At step (406), the request along with user-provided subscriber details and one or more predetermined filters is forwarded from the workflow engine (212) to the computation layer engine (214). The one or more predetermined filters may include for example, data filters that filter the subscribers based on subscribers' custom data field(s). The subscriber details refer to information such as, name, street address, telephone number, email address, or similar contact information provided by the subscriber to the provider to establish or maintain an account or communication channel, a subscriber or account number or identifier, the length of service, and the types of services. In current context, the subscriber details may correspond to information associated with one or more subscribers connected to cell towers.

[0092] At step (408), subscriber data along with connected network data is extracted by the computation layer engine (214), from the distributed file system (234) based on the request, the subscriber details and the one or more predetermined filters received from the workflow engine (212).

[0093] At step (410), the extracted subscriber data is sent by the computation layer engine (214) along with connected network data to the workflow engine (212) via a distributed data lake, where the distributed data lake stores the extracted subscriber data and the connected network data.

[0094] At step (412), a network map based on the extracted subscriber data and the connected network data received from the computation layer engine (214) is generated by the workflow engine (212). [0095] At step (414), the generated network map providing an overview of the network performance summary and the subscriber activity is communicated to the user interface server (303) by the workflow engine.

[0096] At step (416), the generated network map is rendered by the user interface server (303) on the user interface (206) based on the request.

[0097] According to one embodiment of the present disclosure, enriching at least one of raw data or aggregated network data, using a normalizer and storing at least one of the raw data or the aggregated network data, in the distributed file system for use by the computation layer engine (214).

[0098] According to one embodiment of the present disclosure, the generated network map includes a plurality of details including at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.

[0099] In an exemplary embodiment, the present disclosure discloses the user equipment (UE) (104) configured for tracking a network performance summary and subscriber activity within a network. The user equipment includes the processor (202) and a computer readable storage medium storing programming for execution by the processor (202). The programming includes instructions to send by a user, a request, through a user interface, for obtaining network performance summary and subscriber activity to a user interface server associated with a user interface. The request is then sent from the user interface server to a load balancer unit associated with the user interface server. The request is forwarded form the load balancer unit to a workflow engine associated with the load balancer unit. The workflow engine determines subscriber details and one or more predetermined filters and forwards the request along with the determined subscriber details and the one or more predetermined filters to a computation layer engine. The computation layer engine extracts subscriber data along with connected network data from a distributed file system based on the request, the subscriber details and the one or more predetermined filters received from the workflow engine. The extracted subscriber data with connected network data is forwarded to the workflow engine via a distributed data lake, where the distributed data lake stores the extracted subscriber data and the connected network data, estimate a user equipment (UE) location in terms of at least one of a latitude and a longitude. A network map is generated based on the extracted subscriber data and the connected network performance data received from the computation layer engine. The generated network map providing an overview of the network performance summary and the subscriber activity is forwarded to the user interface for rendering the generated network map to the user via the load balancer unit.

[00100] FIG. 5 illustrates an exemplary computer system (500) in which or with which embodiments of the present disclosure may be implemented. As shown in FIG. 5, the computer system (600) may include an external storage device (510), a bus (520), a main memory (530), a read-only memory (540), a mass storage device (550), a communication port (560), and a processor (570). A person skilled in the art will appreciate that the computer system (500) may include more than one processor (570) and communication ports (560). The processor (570) may include various modules associated with embodiments of the present disclosure.

[00101] In an embodiment, the communication port (560) may be any of an RS- 232 port for use with a modem-based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fibre, a serial port, a parallel port, or other existing or future ports. The communication port (560) may be chosen depending on the network (506), such a Focal Area Network (LAN), Wide Area Network (WAN), or any network to which the computer system (500) connects.

[00102] In an embodiment, the memory (530) may be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. Read-only memory (540) may be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or Basic Input/Output System (BIOS) instructions for the processor (570).

[00103] In an embodiment, the mass storage (550) may be any current or future mass storage solution, which may be used to store information and/or instructions. Ex- emplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g., an array of disks (e.g., SATA arrays).

[00104] In an embodiment, the bus (520) communicatively couples the processors) (670) with the other memory, storage, and communication blocks. The bus (620) may be, e.g., a Peripheral Component Interconnect (PCI)/PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), Universal Serial Bus (USB) or the like, for connecting expansion cards, drives and other subsystems as well as other buses, such a front side bus (FSB), which connects the processor (570) to the computer system (500).

[00105] Optionally, operator and administrative interfaces, e.g., a display, keyboard, joystick, and cursor control device, may also be coupled to the bus (520) to support direct operator interaction with the computer system (500). Other operator and administrative interfaces may be provided through network connections connected through the communication port (560). The components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system (500) limit the scope of the present disclosure.

TECHNICAL ADVANCEMENT OF THE PRESENT DISCLOSURE

[00106] The present disclosure provides technical advancement compared to existing art by providing a visual representation means that uses a network map to represent a network performance summary and a subscriber journey. The present disclosure facilitates providing a comprehensive overview of the network performance and subscriber activity through an intuitive visual presentation and the network map. The present disclosure enables quick evaluation of network health by identifying areas of concern, such as high failure rates and significant subscriber count. The present disclosure facilitates visualizing subscriber movement patterns on the network map to identify areas for network improvements. The present disclosure facilitates easy access to important data attributes of the network and provides a handover summary for informed decision-making and proactive network management. The present disclosure facilitates to improve operational efficiency of the network by enabling effective troubleshooting and providing optimized resource allocation for an enhanced subscriber experience. The present disclosure facilitates visualizing summary of connected g Node B’s (gNBs) such as, but not limited to, failure rates, connected subscribers, and the like.

[00107] While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter to be implemented merely as illustrative of the disclosure and not as limitation.

ADVANTAGES OF THE PRESENT DISCLOSURE

[00108] The present disclosure provides a system and method for tracking a network performance summary and subscriber activity within the network.

[00109] The present disclosure provides a visual representation means that uses a network map to represent a network performance summary and a subscriber journey. [00110] The present disclosure provides a system and a method that facilitates to provide a comprehensive overview of the network performance and subscriber activity through an intuitive visual presentation and the network map.

[00111] The present disclosure provides a system and a method that facilitates to enable quick evaluation of network health by identifying areas of concern, such as high failure rates and significant subscriber count. [00112] The present disclosure provides a system and a method that facilitates to visualize subscriber movement patterns on the network map to identify areas for network improvements.

[00113] The present disclosure provides a system and a method that facilitates easy access to important data attributes of the network and provides a handover summary for informed decision-making and proactive network management.

[00114] The present disclosure facilitates to improve operational efficiency of the network by enabling effective troubleshooting, and providing optimized resource allocation for an enhanced subscriber experience. [00115] The present disclosure facilitates to visualize summary of connected g

Node B’s (gNBs) such as, but not limited to, failure rates, connected subscribers, and the like.

Claims

1. A method (400) for providing visualization of a network performance s and a subscriber activity within a network, the method comprising: sending (402), by a user (302), a request, through a user interface (206), to a user interface server (303), wherein the request comprises at least one of user-provided subscriber details and one or more predetermined filters; sending (404) the request from the user interface server (303) to a workflow engine (212); forwarding (406), from the workflow engine (212), the request along with the user-provided subscriber details and one or more predetermined filters to a computation layer engine (214); extracting (408), by the computation layer engine (214), subscriber data along with connected network data from a distributed file system (234) based on the request, the subscriber details and the one or more predetermined filters; sending (410), by the computation layer engine (214), the extracted subscriber data along with the connected network data to the workflow engine (212) via a distributed data lake (232); generating (412), by the workflow engine (212), a network map based on the extracted subscriber data and the connected network data received from the computation layer engine (214); communicating (414), by the workflow engine (212), the generated network map providing an overview of the network performance summary and the subscriber activity to the user interface server (303); and rendering (416), by the user interface server (303), the generated network map on the user interface (206) based on the request.

2. The method (400) of claim 1, wherein extracting subscriber data along with connected network data from a distributed file system comprises: enriching at least one of raw data and aggregated network data associated with the user provided subscriber details, using a normalizer (216), wherein the subscriber details correspond to information associated with one or more subscribers connected to cell towers; using the raw data and aggregated network data for extracting subscriber data along with connected network data; and storing at least one of the raw data and the aggregated network data, in the distributed file system (234) for use by the computation layer engine (214).

3. The method (400) of claim 1, wherein the generated network map comprises a plurality of details comprising at least one of connected gNodeB (gNBs), the subscriber details, and one or more cell towers and wherein the distributed data lake (232) stores the extracted subscriber data and the connected network data.

4. A system (108) for providing visualization of a network performance and a subscriber activity within the network, the system (108) comprising: a user interface (206) for receiving a request from a user for obtaining the network performance summary and the subscriber activity, wherein the request comprises at least one of user provided subscriber details and one or more predetermined filters; the workflow engine (212) for estimating subscriber details including a user equipment (UE) location in one or more terms of at least one of a latitude and a longitude, forwarding the request along with subscriber details and one or more filters to a computation layer engine (214), and generating a network map, in response to the request; and the computation layer engine (214) for extracting subscriber data along with connected network data from a distributed file system (234) and sending the extracted subscriber data along with connected network data to the workflow engine (212) via a distributed data lake (232).

5. The system (108) of claim 4, further comprising a normalizer (216) to enrich raw data and store the raw data associated with the user provided subscriber details in the distributed file system (234) for use by the computation layer engine (214).

6. The system (108) of claim 1, wherein the workflow engine (212) generates the network map comprising a plurality of details comprising at least one of connected gNodeB (gNBs), subscriber details, and one or more cell towers.

7. A computer program product comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of: sending (402), by a user (302), a request, through a user interface (206) to a user interface server (303), wherein the request comprises at least one of user-provided subscriber details and one or more predetermined filters; sending (404) the request from the user interface server (303) to a workflow engine (212); forwarding (406), from the workflow engine (212), the request along with subscriber details and one or more predetermined filters to a computation layer engine (214), wherein the subscriber details correspond to information associated with one or more subscribers connected to cell towers; extracting (408), by the computation layer engine (214), subscriber data along with connected network data from a distributed file system (234) based on the request, the subscriber details and the one or more predetermined filters; sending (410), by the computation layer engine (214), the extracted subscriber data along with the connected network data to the workflow engine (212) via a distributed data lake (232); generating (412), by the workflow engine (212), a network map based on the extracted subscriber data and the connected network data received from the computation layer engine (214); communicating (414), by the workflow engine (212), the generated network map providing an overview of the network performance summary and the subscriber activity to the user interface server (303); and rendering (416), by the user interface server (303), the generated network map on the user interface (206) based on the request.

8. A user equipment (UE) (104) configured for providing visualization of a network performance and a subscriber activity within a network, the user equipment (104) comprising: a processor (202); and a computer readable storage medium storing programming for execution by the processor (202), the programming including instructions to: send (402), a request, through a user interface (206), for obtaining the network performance summary and the subscriber activity to a user interface server (303) associated with the user interface (206); and render a network map, through the user interface (206) providing network performance summary and the subscriber activity to the user; wherein the network map is generated based on the subscriber data extracted from a distributed file system (234) and the connected network data received from a computation layer engine (214) as claimed in claim 1.