A Localization Method with Insufficient RSS samples using Neural Network

Sunghoon Jung, Chaehun Im, Chahyeon Eom, Chungyong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a localization method with insufficient received signal strength (RSS) samples using the neural network. The proposed method estimates the position of the user equipment (UE) with the position information of the base stations and collected RSS samples. The proposed method estimates the position of the UE more accurately with only a few RSS samples which are insufficient to correct the RSS value by the conventional method. Also, all the localization processes are integrated into a single neural network, unlike the conventional method needs two-step processes. The proposed method is superior to the conventional method in terms of root mean squared error and circular error probability although using insufficient RSS samples. The average of the localization accuracy is improved by 38% compared with the conventional method.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages272-275
Number of pages4
ISBN (Electronic)9781728149851
DOIs
Publication statusPublished - 2020 Feb
Event2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
Duration: 2020 Feb 192020 Feb 21

Publication series

Name2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

Conference

Conference2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
CountryJapan
CityFukuoka
Period20/2/1920/2/21

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing

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  • Cite this

    Jung, S., Im, C., Eom, C., & Lee, C. (2020). A Localization Method with Insufficient RSS samples using Neural Network. In 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 (pp. 272-275). [9065087] (2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIIC48513.2020.9065087