Search

EP-4736521-A1 - SYSTEM AND METHOD FOR OPTIMIZING NETWORK PERFORMANCE FOR A TARGET AREA

EP4736521A1EP 4736521 A1EP4736521 A1EP 4736521A1EP-4736521-A1

Abstract

A system (108) and method for optimizing a network performance in a target area is disclosed. The system (108) is configured to receive, by a processor (202), a first set of information including longitudinal and latitudinal data from one or more computing devices (104) associated with users (102). The processor (202) samples the target area into segments and identifies a first set of grids corresponding to the target area. The processor (202) identifies coverage parameters along the route based on the first set of grids and aggregates these coverage parameters to generate actionable insights. The processor (202) identifies one or more uncovered patch locations based on the generated actionable insights. The system (108) also performs coverage planning, optimization, and route coverage aggregation for comprehensive analysis.

Inventors

  • BHATNAGAR, AAYUSH
  • SHAH, BRIJESH
  • CHOURASIA, NITESH KUMAR
  • TARAN, MAYANK
  • BHATNAGAR, PRADEEP KUMAR
  • SHETTY, MANOJ
  • VIRKAR, Sneha
  • CHITALIYA, Dharmesh A
  • KRISHNA, Neelabh
  • KADAM, Hanumant
  • KOTHARI, ANSHUL
  • KHANCHANDANI, Nilesh

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260506
Application Date
20240603

Claims (18)

  1. 1. A system (108) for optimizing a network performance for a target area, the system (108): a memory (204); and a processor (202) coupled with the memory (204), configured to: receive (302) a first set of information pertaining to the target area from one or more computing devices (104) associated with one or more users (102); sample (304) the target area into a plurality of segments to identify a first set of grids corresponding to the target area; identify (306) a set of coverage parameters along a route based on the first set of grids; aggregate (308) the set of coverage parameters to generate one or more actionable insights; and identify (310) one or more uncovered patch locations along the route based on the one or more actionable insights in response to aggregation.
  2. 2. The system (108) as claimed in claim 1, wherein the processor (202) is configured to perform a coverage planning and optimization for the one or more uncovered patch locations.
  3. 3. The system (108) as claimed in claim 1, wherein the processor (202) is configured to perform a route coverage aggregation to estimate a coverage status on the target area.
  4. 4. The system (108) as claimed in claim 1, wherein the one or more actionable insights comprise information associated with population distribution, area covered under different coverage categories, and details of the one or more uncovered patch locations.
  5. 5. The system (108) as claimed in claim 1, wherein the processor (202) is configured to utilize the one or more actionable insights for improving the network performance in the one or more uncovered patch locations.
  6. 6. The system (108) as claimed in claim 1, wherein the processor (202) is configured to receive a second set of information corresponding to a set of parameters, metrics, and Key Performance Indicators (KPIs) associated with a plurality of grids.
  7. 7. The system (108) as claimed in claim 1, wherein the first set of information comprises a longitudinal and latitudinal data and a geographical data associated with the target area, and wherein the geographical data includes an altitude, terrain features, and land use classifications.
  8. 8. The system (108) as claimed in claim 1, wherein the processor (202) is configured to receive the first set of information in one of a real-time mode or a batch mode, from the one or more computing devices (104).
  9. 9. A method (300) for optimizing a network performance for a target network, the method comprising: receiving (302), by a processor (202), a first set of information pertaining to a target area from one or more computing devices (104) associated with one or more users (102); sampling (304), by the processor (202), the target area into a plurality of segments to identify a first set of grids corresponding to the taiget area; identifying (306), by the processor (202), a set of coverage parameters along a route based on the first set of grids; aggregating (308), by the processor (202), the set of coverage parameters to generate one or more actionable insights; and identifying (310), by the processor (202), one or more uncovered patch locations along the route based on the one or more actionable insights in response to aggregating.
  10. 10. The method (300) as claimed in claim 9, performing, by the processor (202), a coverage planning and optimization for the one or more uncovered patch locations.
  11. 11. The method (300) as claimed in claim 9, performing, by the processor (202), a route coverage aggregation to estimate a coverage status on the target area.
  12. 12. The method (300) as claimed in claim 9, wherein the one or more actionable insights comprise information associated with population distribution, area covered under different coverage categories, and details of the one or more uncovered patch locations.
  13. 13. The method (300) as claimed in claim 9, utilizing, by the processor (202), the one or more actionable insights for improving the network performance in the one or more uncovered patch locations.
  14. 14. The method (300) as claimed in claim 9, receiving, by the processor (202), a second set of information corresponding to a set of parameters, metrics, and Key Performance Indicators (KPIs) associated with a plurality of grids.
  15. 15. The method (300) as claimed in claim 9, wherein the first set of information comprises a longitudinal and latitudinal data and a geographical data associated with the target area, and wherein the geographical data includes an altitude, terrain features, and land use classifications.
  16. 16. The method (300) as claimed in claim 9, receiving, by the processor (202), the first set of information in one of a real-time mode or a batch mode, from the one or more computing devices (104).
  17. 17. A user equipment (UE) (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); and transmitting a plurality of signals in response to the connection request, wherein the system (108) is configured for optimizing network performance for a target area, as claimed in claim 1.
  18. 18. 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: receive (302) a first set of information pertaining to a target area from one or more computing devices (104) associated with one or more users (102); sample (304) the taiget area into a plurality of segments to identify a first set of grids corresponding to the target area; identify (306) a set of coverage parameters along a route based on the first set of grids; aggregate (308) the set of coverage parameters to generate one or more actionable insights; and identify (310) one or more uncovered patch locations along the route based on the one or more actionable insights in response to aggregation.

Description

SYSTEM AND METHOD FOR OPTIMIZING NETWORK PERFORMANCE FOR A TARGET AREA 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 embodiments of the present disclosure generally relate to communication network planning. More particularly, the present disclosure relates to a system and a method for optimizing a network performance for a target area. BACKGROUND OF THE INVENTION [0003] 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. However, 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. [0004] In the field of telecommunications and network planning, accurate assessment of network performance and user experience are essential for providing optimal coverage and meeting user expectations. Network planning engineers rely on various tools and models to predict and plan network coverage, capacity, and performance. However, these tools suffer with poor accuracy and therefore fails to meet user expectations. [0005] Traditionally, network coverage was being monitored by the means of regular drive-testing on target routes and areas across a country, amounting to a huge undertaking by network teams, which delays identification process of uncovered patch and mitigation for a particular area. [0006] There is, therefore, a need in the art to provide a system and a method that can overcome shortcoming associated with prior arts. SUMMARY [0007] In an exemplary embodiment, a method for optimizing a network performance for a target area is described. The method includes receiving a first set of information pertaining to a target area from one or more computing devices associated with one or more users. The method includes sampling the target area into a plurality of segments to identify a first set of grids corresponding to the target area. The method includes identifying a set of coverage parameters along the route based on the first set of grids. The method includes aggregating the set of coverage parameters to generate one or more actionable insights. The method includes identifying one or more uncovered patch locations along the route based on the one or more actionable insights in response to aggregating. [0008] In some embodiments, the method further includes performing a coverage planning and optimization for the one or more uncovered patch locations. [0009] In some embodiments, the method further includes performing a route coverage aggregation to estimate a coverage status on the target area. [0010] In some embodiments, the one or more actionable insights includes information associated with population distribution, area covered under different coverage categories, and details of the one or more uncovered patch locations. [0011] In some embodiments, the method further includes utilizing the one or more actionable insights for improving the network performance in the one or more uncovered patch locations. [0012] In some embodiments, the method further includes receiving a second set of information corresponding to a set of parameters, metrics, and Key Performance Indicators (KPIs) associated with a plurality of grids. [0013] In some embodiments, the first set of information includes a longitudinal and latitudinal data and a geographical data associated with the target area, and wherein the geographical data includes an altitude, terrain features, and land use classifications. [0014] In some embodiments, the method further includes receiving the first set of information in one of a real-time mode or a batch mode, from the one or more computing devices. [0015] In another exemplary embodiment, a system for optimizing a network performance for a target area is described. The system includes receive a first set of information pertaining to a target area from one or more computing devices associated with one or more users. The processor is configured to sample the target area into a plurality of segments to identify a first set of grids corresponding to the target area. The processor is configured to identify a set of coverage parameters along a route based