Radio Environment Map Construction with Joint Space-Frequency Interpolation

Koya Sato, Kei Inage, Takeo Fujii

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

Abstract

In this paper, we propose a radio environment map (REM) construction method that interpolates the received signal power over not only the spatial domain but also the frequency domain. REM is a tool for analyzing radio propagation, which is typically defined as a map that stores the received signal power. Crowdsourcing with spatial interpolation (e.g., Kriging) can accurately construct the REM, and the accurate REM improves the efficiency of spectrum use. However, crowdsourcing can only be performed over frequencies in which the mobile terminals can perform the sensing. Thus, conventional REM construction may only improve the spectral efficiency in the frequency in which the sensing can be performed. Our proposed method focuses on the fact that the average received signal power, which consists of path loss and shadowing, shows a strong correlation over the frequency domain. We show that utilizing correlations over both frequency and spatial domains can construct the REM even if the datasets are not available at the estimated environment.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-54
Number of pages4
ISBN (Electronic)9781728149851
DOIs
Publication statusPublished - Feb 2020
Event2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
Duration: 19 Feb 202021 Feb 2020

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
Period19/02/2021/02/20

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  • Cite this

    Sato, K., Inage, K., & Fujii, T. (2020). Radio Environment Map Construction with Joint Space-Frequency Interpolation. In 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 (pp. 51-54). [9065217] (2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIIC48513.2020.9065217