EP-4736514-A1 - SYSTEM AND METHOD FOR DETERMINING AN OPERATIVE STATUS OF A BASE GRID FOR NETWORK ANALYSIS

EP4736514A1EP 4736514 A1EP4736514 A1EP 4736514A1EP-4736514-A1

Abstract

The present disclosure provides a system (108) and a method (300) for base grid creation for analyzing geographical locations The system (108) generates a base grid where an aggregation of data, specifically on international mobile subscriber identity (IMSI) levels provides a real time health status of each IMSI within the base grid. The system (108) generates IMSI level identification and plotting where a real time issue with a specific user may be identified. The system (108) summarizes data at different levels of aggregation and reduces a number of data points to be processed and displayed. The system (108) improves performance and scalability, allowing users to analyze and visualize large volumes of data efficiently.

Inventors

BHATNAGAR, AAYUSH
KADAM, Hanumant
WADHWANI, Vikas
SHETTY, MANOJ
SONI, Roshni
CHITALIYA, Dharmesh A
VIRKAR, Sneha
KRISHNA, Neelabh
BHATNAGAR, PRADEEP KUMAR

Assignees

Jio Platforms Limited

Dates

Publication Date: 20260506
Application Date: 20240515

Claims (1)

We claim: 1 A system (108) for determining an operative status of a base grid for network analysis, the system (108) comprising: a server (202) configured to store a plurality of data samples received from a plurality of user equipments residing in a geographic area defined by a plurality of base grids; and a processing unit (204) configured to cooperate with the server to receive the plurality of data samples and is further configured to: group the plurality of data samples into one or more groups based on at least one of an international mobile subscriber identity (IMSI) level and a map level; aggregate the plurality of grouped data samples of each group corresponding to each radio-frequency (RF) parameter of a set of RF parameters to determine a plurality of key performance indicators (KPIs) corresponding to each base grid; and display the determined plurality of KPIs representing the operative status of the base grid on a displaying screen. 2 The system (108) as claimed in claim 1, wherein each of the plurality of base grids has a predefined size. 3 The system (108) as claimed in claim 1, wherein the displaying screen is a map application. 4 The system (108) as claimed in claim 1, wherein the set of RF parameters includes a reference signal received power (RSRP), a signal to noise interference ratio (SINR), a reference signal received quality (RSRQ), and a throughput. 5 The system (108) as claimed in claim 1, wherein the plurality of user equipments includes an indoor user equipment, and an outdoor user equipment. 6 The system (108) as claimed in claim 1, wherein for the IMSI level-based grouping, the processing unit (204) is configured to: extract an international mobile subscriber identity (IMSI) associated with each of the user equipment from the plurality of data samples; group the plurality of data samples based on the extracted IMSI of each user equipment on a predefined frequency to generate an IMSI wise data; aggregate the IMSI wise data corresponding to each RF parameter of the set of RF parameters to determine the plurality of KPIs for the extracted IMSI; and plot the determined plurality of KPIs for the extracted IMSI on the map application. The system (108) as claimed in claim 1, wherein the server (202) is configured to store the plurality of received data samples for a predefined time along with a time stamp. The system (108) as claimed in claim 1, wherein the operative status is a congested status, or a non-congested status. A method (700) of determining an operative status of a base grid for network analysis, the method comprising: storing (702), in a server, a plurality of data samples received from a plurality of user equipments residing in a geographic area defined by a plurality of base grids; grouping (704), by a processing unit (204), the plurality of data samples into one or more groups based on at least one of an international mobile subscriber identity (IMSI) level or a map level; aggregating (704), by the processing unit (204), the plurality of grouped data samples of each group corresponding to each radio-frequency (RF) parameter of a set of RF parameters to determine a plurality of key performance indicators (KPIs) corresponding to each base grid; and displaying (706), by the processing unit (204), the generated plurality of KPIs representing the operative status of the base grid on a displaying screen. The method (700) as claimed in claim 9, further comprising following steps for the IMSI level-based grouping: extracting an international mobile subscriber identity (IMSI) associated with each of the user equipment from the plurality of data samples; grouping the plurality of data samples based on the extracted IMSI of each user equipment on a predefined frequency to generate an IMSI wise data; aggregating the IMSI wise data corresponding to each radiofrequency (RF) parameter of the set of RF parameters to determine the plurality of key performance indicators (KPIs) for the extracted IMSI; and plotting the determined plurality of KPIs for the extracted IMSI on the map application. The method (700) as claimed in claim 9, further comprising storing the plurality of received data samples for a predefined time along with a time stamp. The method (700) as claimed in claim 9, wherein the operative status is a congested status, or a non-congested status. The method (700), as claimed in claim 10, further comprising aggregating data on the IMSI level to provide a real-time health state of each IMSI within the base grid. The method (700) as claimed in claim 10, further comprising summarizing data on different levels, thereby reducing the number of data points to be processed and displayed, resulting in improvement in performance and scalability. The method (700) as claimed in claim 13, wherein the health state includes an active state, an inactive state, a barred state, and a roaming state. The method (700), as claimed in claim 10, further comprising identifying a real-time issue with a specific user based on each IMSI based on the determined plurality of KPIs. The method (700) as claimed in claim 16, wherein the real-time issue includes a service provisioning issue, a roaming-related issue, network congestion, and an authentication failure issue. A user equipment (UE) configured to determine an operative status of a base grid for network analysis, the UE comprising: a processing unit; and a computer readable storage medium storing programming instructions for execution by the processing unit, the programming including instructions to: store a plurality of data samples received from a plurality of user equipments residing in a geographic area defined by a plurality of base grids; group the plurality of data samples into one or more groups based on at least one of an international mobile subscriber identity (IMSI) level or a map level; aggregate the plurality of grouped data samples of each group corresponding to each radio-frequency (RF) parameter of a set of RF parameters to determine a plurality of key performance indicators (KPIs) corresponding to a base grid; and display the generated plurality of KPIs representing an operative status of the base grid on a displaying screen. 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: store a plurality of data samples received from a plurality of user equipments residing in a geographic area defined by a plurality of base grids; group the plurality of data samples into one or more groups based on at least one of an international mobile subscriber identity (IMSI) level or a map level; aggregate the plurality of grouped data samples of each group corresponding to each radio-frequency (RF) parameter of a set of RF parameters to determine a plurality of key performance indicators (KPIs) corresponding to a base grid; and display the generated plurality of KPIs representing an operative status of the base grid on a displaying screen.

Description

SYSTEM AND METHOD FOR DETERMINING AN OPERATIVE STATUS OF A BASE GRID FOR NETWORK ANALYSIS 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 (JPL) 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 INVENTION [0002] The present disclosure generally relates to systems and methods for grid creation in a wireless telecommunications network. More particularly, the present disclosure relates to a system and a method for determining an operative status of a base grid for network analysis and analyzing geographical locations. DEFINITION [002] As used in the present disclosure, the following terms are generally intended to have the meaning as set forth below, except to the extent that the context in which they are used to indicate otherwise. [003] The expression ‘base grid (degree grid, a coordinate grid or a latitude-longitude grid)’, used hereinafter in the specification refers to a system of lines used to define and locate positions on the Earth's surface based on latitude and longitude coordinates. The base grid is a reference framework that divides the Earth's surface into a grid of horizontal lines (latitude) and vertical lines (longitude) to establish precise locations. The base grid is a fundamental concept in network design and refers to the underlying structure used to organize and connect network devices. The base grid typically consists of a collection of horizontal and vertical lines or segments, often arranged in a grid-like pattern, on which various network elements such as routers, switches, and access points are placed. The purpose of the base grid is to provide a scalable and organized way to connect network devices and to facilitate efficient traffic flow. [004] The expression ‘International Mobile Subscriber Identity (IMSI)’, used hereinafter in the specification refers to a unique 15-digit number that identifies every user in a Global System for Mobile communication (GSM) and Universal Mobile Telecommunication system (UMTS) network. [005] These definitions are in addition to those expressed in the art. BACKGROUND OF THE INVENTION [0003] 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 admission of the prior art. [0004] Traditional network planning often relies on static assumptions about network usage patterns and traffic demands. Further, traditional network planning may assume predictable traffic volumes and fixed user behaviour, which may limit the ability to accurately anticipate and respond to dynamic changes in network requirements. Traditional network planning methods may rely on historical data or limited periodic measurements, which may not reflect real-time network conditions. This may result in suboptimal network designs that do not effectively address current or future demands. Traditional network planning may be rigid and less adaptable to changing requirements or unforeseen events. Traditional network planning is challenging to modify or expand the network infrastructure once implemented, leading to potential inefficiencies and difficulties in scaling the network to accommodate growth or evolving technologies. Traditional network planning methods use coarse-grained spatial models, assuming uniform network conditions across larger geographic areas. This approach overlooked localized variations in demand, coverage, or capacity requirements, resulting in suboptimal network designs at a more granular level. [0005] Further, traditional network planning methods are not fully considering the potential of emerging technologies and their impact on network requirements. This may limit the ability to leverage innovative solutions or optimize network designs to take advantage of advancements such as virtualization, cloud computing, or software-defined networking. Traditional network planning methods may involve limited stakeholder engagement, excluding valuable insights and perspectives from end-users, service providers, or other relevant parties. This may lead to network designs that do not align with user needs or fail to consider specific requirements of dif