EP-4736522-A1 - SYSTEM AND METHOD FOR VISUALIZATION OF COVERAGE DATA

EP4736522A1EP 4736522 A1EP4736522 A1EP 4736522A1EP-4736522-A1

Abstract

A system (108) and method (300) for visualizing coverage data using grid-to-tile conversion is disclosed. The system (108) is configured to divide, by a tile division module of a processing engine (208), a map of an area into a plurality of tiles, each tile representing a defined area. A grid area within a tile is mapped, by the processing engine (208), to its corresponding parent tile. The system (108) then plots, by the processing engine (208), the position of each grid within the corresponding parent tile. Each grid is converted, by the processing engine (208), to a pixel with a specific color based on a key performance indicator (KPI) value. The pixels for each corresponding tile are merged, by a pixel merging module (230) of the processing engine (208), and the merged pixels are saved as an image representing the coverage data.

Inventors

BHATNAGAR, AAYUSH
BHATNAGAR, PRADEEP KUMAR
SHETTY, MANOJ
VIRKAR, Sneha
CHITALIYA, Dharmesh A
KRISHNA, Neelabh
VERMA, ATUL
KADAM, Hanumant

Assignees

Jio Platforms Limited

Dates

Publication Date: 20260506
Application Date: 20240606

Claims (1)

CLAIMS We Claim: 1. A system (108) for visualizing coverage data using grid-to-tile conversion, said system (108) configured to: divide, by a tile division module (222) of a processing engine (208), a map of an area into a plurality of parent tiles, each tile defining a predefined subarea; map, by a grid mapping module (224) of the processing engine (208), a grid area within a tile to its corresponding parent tile, wherein the grid area is a portion of the corresponding parent tile; plot, by a grid plotting module (226) of the processing engine (208), position of each grid within the corresponding parent tile; convert, by a grid conversion module (228) of the processing engine (208), each grid to a pixel with a specific color based on a key performance indicator (KPI) value; and merge, by a pixel merging module (230) of the processing engine (208), pixels for each corresponding tile, wherein the merged pixels are saved as an image representing the coverage data. 2. The system (108), as claimed in claim 1, is further configured to augment crowdsourced measurement data with prediction data to generate a continuous coverage layer at a 5x5 meter granularity for key network KPIs, including Reference Signal Received Power (RSRP), Signal-to-Interference-plus-Noise Ratio (SINR), and Downlink (DL) throughput. 3. The system (108) as claimed in claim 1, wherein the KPI value is visualized using custom legends and ranges to enable different ranges and colors for the selected KPI. 4. The system (108) as claimed in claim 1, wherein the saved image representing the coverage data enables planning and optimization teams to analyze coverage issues in specific areas without any field visit. 5. The system (108) as claimed in claim 1, further comprising a user interface module configured to allow an end user to apply different ranges and colors for the selected KPI. 6. Amethod (300) for visualizing coverage data using grid-to-tile conversion, said method (300) comprising: dividing (302), by a tile division module of a processing engine (208), a map of an area into a plurality of parent tiles, each tile representing a pre-defined area; mapping (304), by a grid mapping module (224) (224) of the processing engine (208), a grid area within a tile to its corresponding parent tile, wherein the grid area is a portion of the corresponding parent tile;; plotting (306), by a grid plotting module (226) of the processing engine (208), a position of each grid within the corresponding parent tile; converting (308), by a grid conversion module (228) of the processing engine (208), each grid to a pixel with a specific color based on a key performance indicator (KPI) value; and merging (310), by a pixel merging module (230) of the processing engine (208), pixels for each corresponding tile, wherein the merged pixels are saved as an image representing the coverage data. 7. The method (300) as claimed in claim 6, further comprising augmenting, by a data augmentation module, crowdsourced measurement data with prediction data to generate a continuous coverage layer at a 5x5 meter granularity for key network KPIs, including Reference Signal Received Power (RSRP), Signal-to-Interference-plus-Noise Ratio (SINR), and Downlink (DL) throughput. 8. The method (300) as claimed in claim 6, wherein the KPIs are visualized using custom legends and ranges to enable different ranges and colors for the selected KPI. 9. The method (300) as claimed in claim 6, wherein the saved image representing the coverage data enables planning and optimization teams to analyze coverage issues in specific areas without any field visit. 10. The method (300) as claimed in claim 6, further comprising enabling, by a user interface module, an end user to apply different ranges and colors for the selected KPI. 11. 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: divide, by a tile division module of a processing engine (208), a map of an area into a plurality of parent tiles, each tile representing a pre-defined subarea area; map, by a grid mapping module (224) of the processing engine (208), a grid area within a tile to its corresponding parent tile, wherein the grid area is a portion of the corresponding parent tile; plot, by a grid plotting module (226) of the processing engine (208), a position of each grid within the corresponding parent tile; convert, by a grid conversion module (228) of the processing engine (208), each grid to a pixel with a specific color based on a key performance indicator (KPI) value; and merge, by a pixel merging module (230) of the processing engine (208), pixels for each corresponding tile, wherein the merged pixels are saved as an image representing the coverage data. 12. A user equipment (104) communicatively coupled with a system (108), the coupling comprises steps of: receiving a connection request from the system (108); sending an acknowledgment of the connection request to the system (108); transmitting a plurality of signals in response to the connection request, wherein the system (108) is configured for visualizing coverage data using grid-to-tile conversion as claimed in claim 1.

Description

SYSTEM AND METHOD FOR VISUALIZATION OF COVERAGE DATA 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 communication technology. More particularly, the present disclosure relates to a system and a method for visualization of coverage data using grid to tile conversion. 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] In the field of telecommunications, network coverage plays a crucial role in ensuring reliable and high-quality service for users. With the widespread deployment of mobile networks across PAN India, network operators face the challenge of efficiently managing and analyzing the vast amount of coverage data generated by their networks. This data includes various Key Performance Indicators (KPIs) such as RSRP (Reference Signal Received Power), SINR (Signal-to- Interference-plus-Noise Ratio), and DL (Downlink) Throughput. [0005] Traditionally, analyzing network coverage required extensive field visits and manual data collection, which was time-consuming, expensive, and often impractical due to the scale of the network. However, with advancements in technology and the availability of crowdsourced measurement data, a more efficient and cost-effective approach has emerged. [0006] There is, therefore, a need in the art to provide a method and a system that can overcome the shortcomings of the existing prior arts. OBJECTS OF THE PRESENT DISCLOSURE [0007] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below. [0008] An object of the present disclosure is to provide a system and a method for visualization of coverage data with a user interface (UI) that allows users to view and analyze Key Performance Indicators (KPIs) related to network coverage in a Pan India network. [0009] An object of the present disclosure is to provide a system and a method for visualization of coverage data incorporating a crowdsourced measurement data collection module collecting measurement data from user devices for evaluating network coverage and performance across Pan India. [0010] An object of the present disclosure is to provide a system and a method for visualization of coverage data by combining the crowdsourced measurement data with the prediction data to generate a continuous coverage layer representing the network's performance. [0011] An object of the present disclosure is to provide a system and a method for visualization of coverage data by plotting grid positions to provide a reference for each position's location on the coverage layer and pinpoint specific areas of interest for analysis and optimization. [0012] An object of the present disclosure is to provide a system and a method for visualization of coverage data by converting grid positions to pixels on an image and assigning specific colors to each pixel based on the corresponding KPI value. SUMMARY [0013] The present disclosure discloses a system for visualizing coverage data using grid-to-tile conversion, said system configured to divide, by a tile division module of a processing engine, a map of an area into a plurality of tiles, each tile representing an area, map, by a grid mapping module of the processing engine, a grid area within a tile to its corresponding parent tile, plot, by a grid plotting module of the processing engine, position of each grid within the corresponding parent tile, convert, by a grid conversion module of the processing engine, each grid to a pixel with a specific color based on a key performance indicator (KPI) value and merge, by a pixel merging module of the processing engine, pixels for each corresponding tile, wherein the merged pixels are saved as an image representing the coverage data. [0014] In an embodiment, the system is further configured to augment a crowdsourced measurement data with a prediction data to generate a continuous coverag