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EP-4736535-A1 - SYSTEM AND METHOD FOR IDENTIFICATION OF HIGH RANK NEIGHBOR CELLS

EP4736535A1EP 4736535 A1EP4736535 A1EP 4736535A1EP-4736535-A1

Abstract

The system (100-2) and method for identification of high ranked neighbor cells in a telecommunications network provide an efficient and accurate approach to selecting neighboring cells with superior performance for handover purposes. The system (100-2) leverages performance metrics, algorithms, and dynamic adaptation techniques to determine the suitability and ranking of potential neighbor cells. By considering factors such as signal strength, signal quality, interference levels, load balancing requirements, and operator-defined policies, the system (100-2) evaluates the performance of neighbor cells and assigns them scores or rankings to identify the higher ranked neighbor cells. The system's dynamic adaptation ensures that the rankings remain up to date and responsive to changing network conditions. The present system (100-2) and method optimize handover decisions, enhance network performance, and provide users with seamless connectivity and improved quality of service.

Inventors

  • BHATNAGAR, AAYUSH
  • BHATNAGAR, PRADEEP KUMAR
  • VENKATRAMAN, Rajeshwari
  • KAPADIYA, Pratik
  • SHARMA, ABHISHEK
  • JAIN, Aishwary

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260506
Application Date
20240530

Claims (18)

  1. 1. A method (500) for identifying one or more high rank neighbor cells in a network, the method comprising: collecting (502), by an aggregation module (212), data corresponding to a plurality of parameters related to a plurality of neighboring cells from an element management system (EMS); computing (504), by a performance module (210), one or more key performance indicators (KPIs) for the plurality of neighbor cells based on the data aggregated corresponding to each of the plurality of parameters over a first predetermined time period; computing (506), by the performance module (210), a plurality of KPIs for a plurality of source-target pairs, wherein each source-target pair comprises a source cell and a target cell for handover; computing (508), by the performance module (210), a total handover (HO) attempts over one or more interfaces for a second predefined period for each source-target pair in a service area, wherein each interface is a connection point between the source cell and the target cell; calculating (510), by the performance module (210), a percentage of HO share contributed by each source-target pair, wherein the percentage of HO share contributed by each source-target pair is based upon a number of HO attempts per source-target pair; identifying (512), by a source-target module (214), one or more source-target pairs having the percentage of HO share greater than a defined threshold; and identifying (514), by the source-target module (214), the one or more high rank neighbor cells by ranking, the the identified source-target pairs having the percentage of HO share greater than the defined threshold and generating a list of the high ranked neighbor cells associated with each source cell.
  2. 2. The method (500) as claimed in claim 1 , wherein the percentage of HO share = { 100 * [(total number of HO attempts per source-target pair) / (total number of HO attempts for all interfaces for the source cell)] } .
  3. 3. The method (500) as claimed in claim 1 , wherein the plurality of parameters comprises one or more of a signal strength, a signal quality, a plurality of interference levels, a data throughput, call drop rates, a latency, and a capacity of the neighboring cell.
  4. 4. The method (500) as claimed in claim 1, wherein the first predefined time lies in a range of 15 to 30 minutes, and the second predefined time lies in a range of one hour to two hours.
  5. 5. The method (500) as claimed in claim 1, further comprising arranging, by the source-target module (214), the plurality of source-target pairs in a descending order based on the percentage HO share.
  6. 6. The method (500) as claimed in claim 1, wherein the plurality of KPIs include one or more of signal strength, signal quality, a plurality of interference levels, load balancing requirements, a coverage area, a capacity, and a plurality of operator-defined policies.
  7. 7. The method (500) as claimed in claim 1, further comprising storing, by a database (218), the generated list of high ranked neighbor cells associated with each of the source cells.
  8. 8. The method (500) as claimed in claim 1, further comprising analysing the one or more high ranked neighbor cells associated with each source cell to enable handover planning, cell compensation, and capacity planning.
  9. 9. A system (100-2) for identifying one or more high rank neighbor cells in a network, the system comprising: an aggregation module (212) configured to collect data corresponding to a plurality of parameters related to a plurality of neighboring cells from an element management system (EMS); a performance module (210) configured to: compute one or more key performance indicators (KPIs) for the plurality of neighbor cells based on the data aggregated corresponding to each of the plurality of parameters over a first predetermined time period; compute a plurality of KPIs for a plurality of source-target pairs, wherein each source-target pair comprises a source cell and a target cell for handover; compute a total handover (HO) attempts towards over one or more interfaces for a second predefined period for each source-target pair in the service area, wherein the interface is a connection point between the source cell and the target cell; calculate a percentage of HO share contributed by each source-target pair, wherein the percentage of HO share contributed by each source-target pair is based upon a number of HO attempts per source-target pair; and a source-target module (214) configured to: identify one or more source-target pairs having the percentage of HO share greater than a defined threshold; and identify the one or more high rank neighbor cells by ranking the identified source-target pairs having the percentage of HO share greater than the defined threshold and generate a list of the high ranked neighbor cells associated with each source cell.
  10. 10. The system (100-2) as claimed in claim 9, wherein the percentage of HO share = { 100 * [(total number of HO attempts per source-target pair) / (total number of HO attempts for all interfaces for the source cell)] } .
  11. 11. The system (100-2) as claimed in claim 9, wherein the plurality of parameters comprises one or more of a signal strength, a signal quality, a plurality of interference levels, a data throughput, call drop rates, a latency, and a capacity of the neighboring cells.
  12. 12. The system (100-2) as claimed in claim 9, wherein the first predefined time lies in a range of 15 to 30 minutes, and the second predefined time lies in a range of one hour to two hours.
  13. 13. The system (100-2) as claimed in claim 9, wherein the source-target module (214) is configured to rank the plurality of source-target pairs in descending order on basis of the percentage share of HO attempts.
  14. 14. The system (100-2) as claimed in claim 9, wherein the plurality of KPIs include one or more of signal strength, signal quality, a plurality of interference levels, load balancing requirements, a coverage area, a capacity, and a plurality of operator-defined policies.
  15. 15. The system (100-2) as claimed in claim 9, includes a database (218) configured to store the generated list of high ranked neighbor cells associated with each of the source cells.
  16. 16. The system (100-2) as claimed in claim 9, is further configured to analyse the one or more high ranked neighbor cells associated with each source cell to enable handover planning, cell compensation, and capacity planning.
  17. 17. A user equipment configured to identify one or more high rank neighbor cells in a network, the user equipment comprising: a processor; and a computer readable storage medium storing programming instructions for execution by the processor, the programming instructions to: collect data corresponding to a plurality of parameters related to a plurality of neighboring cells from an element management system (EMS); compute one or more key performance indicators (KPIs) for the plurality of neighbor cells based on the data aggregated corresponding to each of the plurality of parameters over a first predetermined time period; compute a plurality of KPIs for a plurality of source-target pairs, wherein each source-target pair comprises a source cell and a target cell for handover; compute a total handover (HO) attempts over one or more interfaces for a second predefined period for each source-target pair in a service area, wherein each interface is a connection point between the source cell and the target cell; calculate a percentage of HO share contributed by each source-target pair, wherein the percentage of HO share contributed by each source-target pair is based upon a number of HO attempts per source-target pair; identify one or more source-target pairs having the percentage of HO share greater than a defined threshold; and identify the one or more high rank neighbor cells by ranking, the identified source-target pairs having the percentage of HO share greater than the defined threshold and generate a list of the high ranked neighbor cells associated with each source cell.
  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: collect data corresponding to a plurality of parameters related to a plurality of neighboring cells from an element management system (EMS); compute one or more key performance indicators (KPIs) for the plurality of neighbor cells based on the data aggregated corresponding to each of the plurality of parameters over a first predetermined time period; compute a plurality of KPIs for a plurality of source-target pairs, wherein each source-target pair comprises a source cell and a target cell for handover; compute a total handover (HO) attempts over one or more interfaces for a second predefined period for each source-target pair in a service area, wherein each interface is a connection point between the source cell and the target cell; calculate a percentage of HO share contributed by each source-target pair, wherein the percentage of HO share contributed by each sourcetarget pair is based upon a number of HO attempts per source-target pair; identify one or more source-target pairs having the percentage of HO share greater than a defined threshold; and identify the one or more high rank neighbor cells by ranking, the identified source-target pairs having the percentage of HO share greater than the defined threshold and generate a list of the high ranked neighbor cells associated with each source cell.

Description

SYSTEM AND METHOD FOR IDENTIFICATION OF HIGH RANK NEIGHBOR CELLS 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. TECHNICAL FIELD [0002] The present disclosure relates to the field of telecommunications and network management. More precisely, it relates to a system for the identification of high-ranking neighbor cells for handing over the user’s connection from the present serving cell to the neighbor cell. DEFINITION [0003] 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. [0004] The expression ‘handover” used hereinafter in the specification refers to a process of transferring an ongoing communication session (such as a call or data session) from one base station (eNodeB) to another as a user moves between coverage areas. This process is crucial for maintaining seamless connectivity and ensuring quality of service as users move within the network. [0005] The expression ‘handover share’ used hereinafter in the specification refers to an allocation or distribution of resources, such as spectrum or bandwidth, among different network nodes (base stations or gNBs - gNodeBs). This allocation determines how much capacity each node has for handling handover procedures and ensuring smooth transitions for users moving between cells. [0006] These definitions are in addition to those expressed in the art. BACKGROUND [0007] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art. [0008] Whenever a mobile device moves from one cell to another, the network needs to identify the most suitable neighboring cell for handover to maintain a stable connection and deliver a high-quality user experience. Cellular networks are composed of a grid of cells, each served by a base station or cell tower. These cells collectively provide coverage to a specific geographical area. When a mobile device moves from one cell to another, it needs to connect to a neighboring cell with a stronger signal and better service quality. Handover is the process of transferring an ongoing call or data session from one cell to another. It is initiated when the signal strength of the serving cell weakens below a certain threshold or when a neighboring cell provides a stronger signal. Handover aims to ensure uninterrupted service and minimize call drops or data interruptions during the transition. [0009] To identify high-ranking neighbor cells, the network collects measurements from both the serving cell and neighboring cells. These measurements include signal strength, signal quality, interference levels, cell load, available capacity, and other performance metrics. These measurements help assess the quality and suitability of neighboring cells for handover. Various algorithms and techniques are used to evaluate the collected measurements and determine the ranking or priority of neighboring cells. These algorithms may consider factors such as signal strength, signal-to-interference ratio (SIR), quality of service requirements, cell load balancing, and network policies. Machine learning techniques can also be employed to improve the accuracy of handover decisions. The identification of high-ranking neighbor cells plays a crucial role in network optimization. By selecting the most suitable neighboring cells for handover, the network can improve signal coverage, minimize call drops, balance network traffic, and enhance overall network performance and capacity. [0010] The identification of high-ranking neighbor cells involves understanding the principles of handover, the collection of network measurements, the utilization of decision algorithms, and the overall goal of network optimization. By effectively identifying and selecting high ranking neighbor cells, telecommunications systems can ensure seamless handovers, provide better coverage and service quality to mobile devices, and deliver an enhanced user experience. [0011] Existing systems for the identification of high-ranking neighbor cells in telecommunications networks vary dependin