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EP-4740546-A1 - METHOD AND SYSTEM FOR DETERMINING OPTIMAL SERVING CELL FOR INSTALLING USER EQUIPMENT IN TELECOMMUNICATION NETWORK

EP4740546A1EP 4740546 A1EP4740546 A1EP 4740546A1EP-4740546-A1

Abstract

The present disclosure relates to a method and a system for determining an optimal serving cell for installing a user equipment in a telecommunication network. The present disclosure encompasses: receiving, by a receiver [302] via an interface, a geo-location; determining, by a processing unit [304], a set of serving cells from a plurality of cells corresponding to the received geo-location using a cell selection technique; determining, by the processing unit [304], a first set of parameters associated with each of the set of serving cells, the first set of parameters is selected from a plurality of parameters stored in a database; and determining, by the processing unit [304], a first feasibility status of each of the set of serving cells as one of feasible or non-feasible to determine the optimal serving cell, based at least on the determined first set of parameters.

Inventors

  • Ambaliya, Haresh
  • BHATNAGAR, AAYUSH
  • BHATNAGAR, PRADEEP KUMAR
  • DERE, Makarand
  • SINGH, VIKRAM
  • Sankaran, Sundaresh

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260513
Application Date
20240612

Claims (20)

  1. 1. A method for determining an optimal serving cell for installing a user equipment in a telecommunication network, said method comprising: receiving, by a receiver [302] via an interface, a geo-location; determining, by a processing unit [304], a set of serving cells from a plurality of cells corresponding to the received geo-location using a cell selection technique; determining, by the processing unit [304], a first set of parameters associated with each of the set of serving cells, the first set of parameters is selected from a plurality of parameters stored in a database; and determining, by the processing unit [304], a first feasibility status of each of the set of serving cells as one of feasible or non-feasible to determine the optimal serving cell, based at least on the determined first set of parameters.
  2. 2. The method as claimed in claim 1, wherein a buffer technique and a grid technique is used as the cell selection technique for determining the set of serving cells.
  3. 3. The method as claimed in claim 2, wherein to determine the set of serving cells using the buffer technique, the method comprises: creating, by the processing unit [304], a predefined distance around the received geo-location; identifying, by the processing unit [304], an overlapping area between the predefined distance and a plurality of best server plots (BSP); and determine, by the processing unit [304], the set of serving cell based on the overlapping area.
  4. 4. The method as claimed in claim 2, wherein to determine the set of serving cells using the grid technique, the method comprises: creating, by the processing unit [304], a plurality of predefined meter grids on a geographical region; identifying, by the processing unit [304], a plurality of serving cells in each grid using a crowd source data associated with identification of serving cells; creating, by the processing unit [304], a serving cell list for each grid; and identifying, by the processing unit [304], a particular grid associated with the received geo-location to determine the set of serving cells.
  5. 5. The method as claimed in claim 1, further comprising: - generating, by the processing unit [304], a cell summary report comprising summary of the set of serving cells with corresponding feasibility status; and displaying, by a display unit [306], the generated cell summary report.
  6. 6. The method as claimed in claim 1, further comprising: receiving, by the receiver [302], a selection of at least one serving cell from the set of serving cells; determining, by the processing unit [304], a distance between the user equipment and the selected at least one serving cell based at least on geographical co-ordinates of the selected at least one serving cell and a user equipment; determining, by the processing unit [304], a desired orientation towards the at least one serving cell based at least on the determined distance; receiving, by the receiver [302], an altitude of the user equipment from an altitude sensor associated with the user equipment; fetching, by the processing unit [304], an altitude of an antenna of the at least one serving cell from the database; determining, by the processing unit [304], a tilt direction of the antenna based at least on a difference between the altitude of the antenna and the altitude of the user equipment; and determining, by the processing unit [304], a feasibility status of the selected at least one serving cell as one of feasible or non-feasible based at least on the determined first set of parameters.
  7. 7. The method as claimed in claim 6, wherein the method comprises generating, by the processing unit [304], a list of feasible cells based on determining a feasibility status of each of the set of serving cells.
  8. 8. The method as claimed in claim 7, further comprising: determining, by the processing unit [304], a second set of parameters associated with each of the set of serving cells, the second set of parameters is selected from a plurality of parameters; and determining, by the processing unit [304], a second feasibility status of each of the set of serving cells as one of feasible or non-feasible based at least on the determined second set of parameters.
  9. 9. The method as claimed in claim 8, wherein determining the first set of parameters and the second set of parameters comprises: determining the first set of parameters, the second set of parameters and Key Performance Indicators (KPIs) that are to be checked for each of the set of serving cells; and retrieving a set of parameter ranges associated with KPIs and threshold values from the database.
  10. 10. A system [300] for determining an optimal serving cell for installing a user equipment in a telecommunication network, said system comprising: a receiver [302] configured to receive, via an interface, a geo-location; a processing unit [304] connected at least to the receiver [302], the processing unit [304] configured to: o determine a set of serving cells from a plurality of cells corresponding to the received geo-location using a cell selection technique; o determine a first set of parameters associated with each of the set of serving cells, the first set of parameters is selected from a plurality of parameters stored in a database; and o determine a first feasibility status of each of the set of serving cells as one of feasible or non-feasible to determine the optimal serving cell, based at least on the determined first set of parameters.
  11. 11. The system [300] as claimed in claim 10, wherein a buffer technique, and a grid technique is used as the cell selection technique for determining the set of serving cells.
  12. 12. The system [300] as claimed in claim 11, wherein to determine the set of serving cells using the buffer technique, the processing unit [304] is further configured to: create, a predefined distance around the received geo-location; identify, an overlapping area between the predefined distance and a plurality of best server plots (BSP); and determine, the set of serving cell based on the overlapping area.
  13. 13. The system [300] as claimed in claim 11, wherein to determine the set of serving cells using the grid technique, the processing unit [304] is further configured to: create, a plurality of predefined meter grids on a geographical region; identify, a plurality of serving cells in each grid using a crowd source data associated with identification of serving cells; create, a serving cell list for each grid; and identify, a particular grid associated with the received geo-location to determine the set of serving cells.
  14. 14. The system [300] as claimed in claim 11, wherein the system further comprises a display unit [306] connected at least to the processing unit [304], wherein: the processing unit [304] is further configured to generate a cell summary report comprising summary of the set of serving cells with corresponding feasibility status; and the display unit [306] is configured to display the generated cell summary report.
  15. 15. The system [300] as claimed in claim 11, wherein: the receiver [302] is further configured to receive a selection of at least one serving cell from the set of serving cells; the processing unit [304] is further configured to: o determine a distance between the user equipment and the selected at least one serving cell based at least on geographical co-ordinates of the selected at least one serving cell and a user equipment; o determine a desired orientation towards the at least one serving cell based at least on the determined distance; o the receiver is further configured to receive an altitude of the user equipment from an altitude sensor associated with the user equipment; o fetch an altitude of an antenna of the at least one serving cell from the database; o determine a tilt direction of the antenna based at least on a difference between the altitude of the antenna and the altitude of the user equipment; and o determine a feasibility status of the selected at least one serving cell as one of feasible or non-feasible based at least on the determined first set of parameters.
  16. 16. The system [300] as claimed in claim 15, wherein the processing unit [304] is configured to generate a list of feasible cells based on determining a feasibility status of each of the set of serving cells.
  17. 17. The system [300] as claimed in claim 16, wherein: the processing unit [304] is configured to determine a second set of parameters associated with each of the set of serving cells, the second set of parameters is selected from a plurality of parameters; and - the processing unit [304] is configured to determine a second feasibility status of each of the set of serving cells as one of a feasible or non-feasible based at least on the determined second set of parameters.
  18. 18. The system [300] as claimed in claim 17, wherein the processing unit [304] is further configured to: determine the first set of parameters, the second set of parameters and Key Performance Indicators (KPIs) that are to be checked for each of the set of serving cells; and retrieve a set of parameter ranges associated with KPIs and threshold values from the database.
  19. 19. A User Equipment (UE) [500], the UE [500] comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to: o send, via an interface, a geo-location to a server, wherein the geo-location is used to determine an optimal serving cell for installing the UE in a telecommunication network, and wherein the optimal serving cell is determined by the server based on: ■ on receiving the geo-location from the UE, determining a set of serving cells from a plurality of cells corresponding to the received geo -location using a cell selection technique; ■ determining a first set of parameters associated with each of the set of serving cells, the first set of parameters is selected from a plurality of parameters stored in a database; and ■ determining a first feasibility status of each of the set of serving cells as one of a feasible or non-feasible to determine the optimal serving cell, based at least on the determined first set of parameters.
  20. 20. A non-transitory computer-readable storage medium storing instructions for determining an optimal serving cell for installing a user equipment in a telecommunication network, the storage medium comprising executable code which, when executed by one or more units of a system [300], causes: - a receiver [302] to receive, via an interface, a geo-location; and a processing unit [304] to: determine a set of serving cells from a plurality of cells corresponding to the received geo -location using a cell selection technique; determine a first set of parameters associated with each of the set of serving cells, the first set of parameters is selected from a plurality of parameters stored in a database; and determine a first feasibility status of each of the set of serving cells as one of feasible or non-feasible to determine the optimal serving cell, based at least on the determined first set of parameters.

Description

METHOD AND SYSTEM FOR DETERMINING OPTIMAL SERVING CELL FOR INSTALLING USER EQUIPMENT IN TELECOMMUNICATION NETWORK FIELD OF THE DISCLOSURE [0001] Embodiments of the present disclosure generally relate to network performance management systems. More particularly, embodiments of the present disclosure relate to methods and systems for determining an optimal serving cell for installing a user equipment in a telecommunication network. BACKGROUND [0002] 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 admissions of the prior art. [0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second-generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. 3G technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth-generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth-generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless communication technology has become more advanced, sophisticated, and capable of delivering more services to its users. [0004] Radio network performance of any wireless technology is highly volatile and rapidly changes in multi cell environment. To plan and deploy any wireless equipment, the existing systems need to visit customer premises multiple times to check feasibility of solutions followed by installations. [0005] Further, over the period of time various solutions have been developed to improve the performance of communication devices and to plan and install new user equipment. However, there are certain challenges with existing solutions. To plan and deploy any wireless equipment, the existing systems need to visit customer premises multiple times to check feasibility of solutions followed by installations. [0006] Thus, there exists an imperative need in the art to plan and install new user equipment based on network analytics, which the present disclosure aims to address. SUMMARY [0007] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter. [0008] An aspect of the present disclosure may relate to a method for determining an optimal serving cell for installing a user equipment in a telecommunication network. The method comprises receiving, by a receiver via an interface, a geo-location. The method further comprises determining, by a processing unit, a set of serving cells from a plurality of cells corresponding to the received geo-location using a cell selection technique. The method further comprises determining, by the processing unit, a first set of parameters associated with each of the set of serving cells, the first set of parameters is selected from a plurality of parameters stored in a database. The method further comprises determining, by the processing unit, a first feasibility status of each of the set of serving cells as one of feasible or non-feasible to determine the optimal serving cell, based at least on the determined first set of parameters. [0009] In an exemplary aspect of the present disclosure, a buffer technique and a grid technique are used as the cell selection technique for determining the set of serving cells. [0010] In an exemplary aspect of the present disclosure, to determine the set of serving cells using the buffer technique, the method comprises creating, by the processing unit, a predefined distance around the received geo-location. The method further comprises identifying, by the processing unit, an overlapping area between the predefined distance and a plurality of best server plots (BSP). The method further comprises determining, by the processing unit, the set of serving cell based on the overlapping area. [0011] In an exemplary aspect of the present disclosure, to determine the set of serving cells using the grid technique, the method comprises creating, by the processing unit, a plurality of predefined meter grids on a geographical region. The method further comprises identify