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US-20260129606-A1 - ELECTRONIC DEVICE FOR DETERMINING POSITION OF USER TERMINAL AND METHOD OF OPERATING THE SAME

US20260129606A1US 20260129606 A1US20260129606 A1US 20260129606A1US-20260129606-A1

Abstract

An electronic device for determining a position of a user terminal and a method of operating the electronic device are provided. The method of operating the electronic device include receiving a request for measuring a position of a user terminal and a piece of reference cell information of a base station connected with the user terminal, in response to the request for measuring the position of the user terminal, based on the piece of reference cell information, generating one or more pieces of neighboring cell information corresponding to the base station, and based on the piece of reference cell information and the one or more pieces of neighboring cell information, determining the position of the user terminal.

Inventors

  • Jin Ah Kang
  • Youngsu CHO

Assignees

  • ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Dates

Publication Date
20260507
Application Date
20250729
Priority Date
20241105

Claims (20)

  1. 1 . A method of operating an electronic device, the method comprising: receiving a request for measuring a position of a user terminal and a piece of reference cell information of a base station connected with the user terminal; in response to the request for measuring the position of the user terminal, based on the piece of reference cell information, generating one or more pieces of neighboring cell information corresponding to the base station; and based on the piece of reference cell information and the one or more pieces of neighboring cell information, determining the position of the user terminal.
  2. 2 . The method of claim 1 , wherein the generating of the one or more pieces of neighboring cell information comprises, using a first model that is pretrained with a sequence of the piece of reference cell information and the one or more pieces of neighboring cell information corresponding to the piece of reference cell information, generating the one or more pieces of neighboring cell information.
  3. 3 . The method of claim 2 , wherein the receiving of the piece of reference cell information further comprises receiving pieces of reference neighboring cell information of base stations of a telecommunication company that is same as a telecommunication company of the base station, and the generating of the one or more pieces of neighboring cell information comprises, based on the piece of reference cell information and the pieces of reference neighboring cell information, generating the one or more pieces of neighboring cell information.
  4. 4 . The method of claim 3 , wherein the first model comprises a long short-term memory (LSTM) layer configured to generate a context vector based on the piece of reference cell information and the pieces of reference neighboring cell information.
  5. 5 . The method of claim 1 , wherein the determining of the position of the user terminal comprises, using a second model that is pretrained with a piece of multi-cell information comprising the piece of reference cell information and the one or more pieces of neighboring cell information and a position, determining the position of the user terminal.
  6. 6 . The method of claim 5 , wherein the second model comprises a long short-term memory (LSTM) layer for determining a position corresponding to the piece of multi-cell information.
  7. 7 . The method of claim 1 , wherein the one or more pieces of neighboring cell information comprise pieces of cell information of a base station of a telecommunication company that is different from a telecommunication company of the base station.
  8. 8 . The method of claim 1 , wherein the determining of the position of the user terminal comprises determining probabilities that the user terminal is positioned in each of predetermined zones.
  9. 9 . A method of operating an electronic device, the method comprising: according to a position of a user terminal, obtaining one or more pieces of cell information of base stations connectable to the user terminal; and based on the one or more pieces of cell information, training a first model to generate one or more pieces of cell information corresponding to a piece of input cell information.
  10. 10 . The method of claim 9 , wherein the training of the first model comprises training the first model by grouping pieces of cell information of base stations of a same telecommunication company among the one or more pieces of cell information.
  11. 11 . The method of claim 9 , wherein each of the one or more pieces of cell information comprises a cell identifier and a channel number of a corresponding cell, and the training of the first model comprises training the first model by generating sequences based on the cell identifier and the channel number of each of the one or more pieces of cell information and matching the generated sequences to one another based on a telecommunication company.
  12. 12 . The method of claim 9 , further comprising: based on a piece of multi-cell information comprising the one or more pieces of cell information, training a second model to determine the position of the user terminal corresponding to the piece of input cell information.
  13. 13 . The method of claim 12 , wherein the training of the second model comprises, based on a piece of mapping information between a zone corresponding to the position of the user terminal among predetermined zones and the piece of multi-cell information, training the second model.
  14. 14 . An electronic device comprising: a processor; and a memory storing instructions, wherein the instructions, when executed by the processor, cause the electronic device to: receive a request for a position of a user terminal and a piece of reference cell information of a base station connected with the user terminal; in response to the request for the position of the user terminal, based on the piece of reference cell information, generate one or more pieces of neighboring cell information corresponding to the base station; and based on the piece of reference cell information and the one or more pieces of neighboring cell information, determine the position of the user terminal.
  15. 15 . The electronic device of claim 14 , wherein the instructions, when executed by the processor, cause the electronic device to, using a first model that is pretrained with a sequence of the piece of reference cell information and the one or more pieces of neighboring cell information corresponding to the piece of reference cell information, generate the one or more pieces of neighboring cell information.
  16. 16 . The electronic device of claim 15 , wherein the instructions, when executed by the processor, cause the electronic device to: further receive pieces of reference neighboring cell information of base stations of a telecommunication company that is same as a telecommunication company of the base station; and based on the piece of reference cell information and the pieces of reference neighboring cell information, generate the one or more pieces of neighboring cell information.
  17. 17 . The electronic device of claim 16 , wherein the first model comprises a long short-term memory (LSTM) layer configured to generate a context vector based on the piece of reference cell information and the pieces of reference neighboring cell information.
  18. 18 . The electronic device of claim 14 , wherein the instructions, when executed by the processor, cause the electronic device to, using a second model that is pretrained with a piece of multi-cell information comprising the piece of reference cell information and the one or more pieces of neighboring cell information and a position, determine the position of the user terminal.
  19. 19 . The electronic device of claim 18 , wherein the second model comprises a long short-term memory (LSTM) layer for determining a position corresponding to the multi-cell information.
  20. 20 . The electronic device of claim 14 , wherein the one or more pieces of neighboring cell information comprise pieces of cell information of a base station of a telecommunication company that is different from a telecommunication company of the base station.

Description

CROSS-REFERENCE TO RELATED APPLICATION This application claims the benefit of Korean Patent Application No. 10-2024-0155149, filed on November 5, 2024 and Korean Patent Application No. 10-2025-0043575, filed on April 3, 2025, in the Korean Intellectual Property Office, the entire disclosures of which are incorporated herein by reference for all purposes. BACKGROUND 1. Field of the Invention One or more embodiments relate to an electronic device for determining a position of a user terminal and a method of operating the same. 2. Description of the Related Art As the use and number of user terminals increase and services provided based on position become more diverse, technology for measuring the positions of user terminals are being researched. The position of a user terminal may be measured using cell information of a base station providing services to the user terminal. For example, to measure the position of a user terminal, the position of the region covered by the cell to which the user terminal is connected, the round-trip time (RTT) of a signal between the base station and the user terminal, the angle of arrival (AOA) of the signal, or the time difference of arrival (TDOA) of the signal may be utilized. The above description is information the inventor(s) acquired during the course of conceiving the present disclosure, or already possessed at the time, and is not necessarily art publicly known before the present application was filed. SUMMARY Various embodiments may determine a position of a user terminal by generating pieces of neighboring cell information based on a piece of reference cell information of a base station to which the user terminal is connected. Various embodiments may determine the position of the user terminal by identifying a relationship between a piece of cell information and a position through artificial intelligence (AI)-based natural language processing. Various embodiments may train a first model for generating pieces of neighboring cell information based on a piece of cell information and a second model for determining a position of a user terminal based on pieces of cell information. Other objects and advantages of the present disclosure can be understood by the following description and will become more apparent by the embodiments of the present disclosure. In addition, it will be apparent that the objects and advantages of the present disclosure can be readily realized by the means and combinations thereof recited in the claims. According to an aspect, there is provided a method of operating an electronic device including receiving a request for measuring a position of a user terminal and a piece of reference cell information of a base station connected with the user terminal, in response to the request for measuring the position of the user terminal, based on the piece of reference cell information, generating one or more pieces of neighboring cell information corresponding to the base station, and based on the piece of reference cell information and the one or more pieces of neighboring cell information, determining the position of the user terminal. The generating of the one or more pieces of neighboring cell information may include, using a first model that is pretrained with a sequence of the piece of reference cell information and the one or more pieces of neighboring cell information corresponding to the piece of reference cell information, generating the one or more pieces of neighboring cell information. The receiving of the piece of reference cell information may further include receiving pieces of reference neighboring cell information of base stations of a telecommunication company that is same as a telecommunication company of the base station, and the generating of the one or more pieces of neighboring cell information may include, based on the piece of reference cell information and the pieces of reference neighboring cell information, generating the one or more pieces of neighboring cell information. The first model may include a long short-term memory (LSTM) layer configured to generate a context vector based on the piece of reference cell information and the pieces of reference neighboring cell information. The determining of the position of the user terminal may include, using a second model that is pretrained with a piece of multi-cell information comprising the piece of reference cell information and the one or more pieces of neighboring cell information and a position, determining the position of the user terminal. The second model may include an LSTM layer for determining a position corresponding to the piece of multi-cell information. The one or more pieces of neighboring cell information may include pieces of cell information of a base station of a telecommunication company that is different from a telecommunication company of the base station. The determining of the position of the user terminal may include determining probabilities that the user