Research and Development on Wireless Access Technology Based on Factor Analysis of Communication Quality Using Redundant Information

Kyoto University, Fukuoka University,
Advanced Telecommunications Research Institute International

Overview

In wireless communications, success or failure of communication can be observed, whereas in general, the factors that have impact on communication quality cannot be observed. These factors are becoming more complex as wireless communications are more densely deployed. The purpose of this research and development is to accurately analyze these factors and to realize efficient medium access control technologies that appropriately adjust wireless parameters.

Point of Research and Development

We call the information such as frame transmission duration and communication result (succes or failure) that contributes to identify the quality factors as “redundant information.” The redundant information is collected from wireless nodes/devices via wired backhaul and exploited for factor analysis of communication quality and efficient wireless access management technology using machine learning.

Members

Koji Yamamoto
Kyoto University
Principal Investigator
Takayuki Nishio
Kyoto University
Mai Ohta
Fukuoka University
Chief Investigator
Makoto Taromaru
Fukuoka University
Kazuto Yano
ATR
Chief Investigator
Kenta Suzuki
ATR
Eiji Nii
ATR
Masahiro Morikura
Kyoto University

Research Results

  1. Kazuto Yano, Kenta Suzuki, Koji Yamamoto, and Mai Ohta, “A study on acquisition of redundant information for efficient transmission control based on factor analysis of communication quality,” IEICE Technical Report, RCS2019-343, pp. 129-133, March 2020.
  2. Mai Ohta, Koji Yamamoto, Kazuto Yano, and Makoto Taromaru, “Research and development on wireless access technology based on factor analysis of communication quality using redundant information,” IEICE Technical Report, SRW2019-81, pp. 109-110, March 2020.
  3. Koji Yamamoto, Yuto Kihira, Yusuke Koda, Takayuki Nishio, and Masahiro Morikura, “Factor analysis of communication quality using redundancy-check information in wireless LANs,” IEICE General Conference, B-5-147, March 2020.
  4. Takayuki Nishio, Tomoya Sunami, Masahiro Morikura, and Koji Yamamoto, “A study of object detection-assisted traffic control for wireless LAN,” IEICE General Conference, B-15-46, March 2020.