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
Akihito Taya Kyoto University
Mai Ohta
Fukuoka University
Chief Investigator
Makoto Taromaru
Fukuoka University
Kazuto Yano
ATR
Chief Investigator
Kenta Suzuki
ATR
OJETUNDE Babatunde
ATR

Research Results

Peer-reviewed conference paper

  1. Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, and Masahiro Morikura,“Adversarial reinforcement learning-based robust access point coordination against uncoordinated interference,” Proc. the 92nd IEEE Vehicular Technology Conference (VTC2020-Fall), Nov. 2020.
  2. Tomoya Sunami, Takayuki Nishio, Masahiro Morikura, and Koji Yamamoto,“Training data generation for RSSI-based localization with camera object detection,”Proc. ICETC, Dec. 2020.
  3. Kazuto Yano, Eiji Nii, Kenta Suzuki, and Koji Yamamoto, “Timestamp synchronization of received frames among multiple wireless LAN nodes for robust access point coordination,” Proc. of the 23rd International Conference on Advanced Communications Technology (IEEE ICACT 2021), Feb. 2021.

Other Publications

  1. Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, “Factor analysis of communication quality using redundant information,” Electrical Engineering Journal cue, no. 44, Sep. 2020.
  2. Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, and Masahiro Morikura, “Interference avoidance by adversarial RL for WLAN,” the 15th Kyoto University ICT Innovation, Feb. 2021.
  3. Koji Yamamoto, “Factor analysis of frame losses based on history of transmissions,” Electrical Engineering Journal cue, no. 46, p. 30, Sep. 2021.

Oral Presentations

  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.
  5. Koji Yamamoto, “Research and development on wireless access technology based on factor analysis of communication quality using redundant information,” the 1st Wireless COE Symposium on robust / flexible radio resource utilization and new applications, June 2020.
  6. Takashi Imanaka, Mai Ohta, Makoto Taromaru, Koji Yamamoto, Kazuto Yano, “Study on channel selection method depending on transmission packet length — Research and development on wireless access technology based on factor analysis of communication quality using redundant information –,” IEICE Tech. Rep., vol. 120, no. 138, SRW2020-14, pp. 27-30, Aug. 2020.
  7. Tomoya Sunami, Takayuki Nishio, Masahiro Morikura, and Koji Yamamoto, “Training data generation for RSSI-based localization with camera object detection,” IEICE Society Conference, B-15-21, Sep. 2020.
  8. Takashi Imanaka, Mai Ohta, and Makoto Taromaru, “A Study on Channel Selection Method Using Reinforcement Learning,” IEICE Society Conference, B-17-17, Sep. 2020.
  9. Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, and Masahiro Morikura,“Adversarial reinforcement learning-based robust access point coordination against uncoordinated interference,” IEICE Technical Report, SeMI2020-25, pp. 43—46, Nov. 2020.
  10. Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Mai Ohta, Makoto Taromaru, Kazuto Yano, Kenta Suzuki, and Eiji Nii, “Research and development on wireless access technology based on factor analysis of communication quality using redundant information,” ATR Open House, Nov. 2020.
  11. Tadashi Imanaka, Mai Ohta, and Makoto Taromaru, “Channel selection method with multi-armed bandit algorithm for spectrum sharing” IEICE Technical Report, SR2020-54, pp. 39—44, Jan. 2021.
  12. Kazuto Yano, Eiji Nii, Kenta Suzuki, and Koji Yamamoto, “Development of system to collect redundant information for efficient access control in wireless LAN,” IEICE Technical Report, RCS2020-204, pp. 7—12, March 2021.
  13. Kazuto Yano, Eiji Nii, Kenta Suzuki, and Koji Yamamoto, “Design of system to collect redundant check information for efficient access control in wireless LAN,” IEICE General Conference, B-5-120, March 2021.
  14. Koji Yamamoto, Takayuki Nishio, Akihito Taya, Mai Ohta, Makoto Taromaru, Kazuto Yano, Kenta Suzuki, Eiji Nii, and Babatunde Ojetunde, “Research and development on wireless access technology based on factor analysis of communication quality using redundant information,” the 2nd Wireless COE Symposium on robust / flexible radio resource utilization and new applications, June 2021.
  15. Takamochi Kanda, Yusuke Koda, Yuto Kihira, Koji Yamamoto, and Takayuki Nishio,“ACK-less rate adaptation for IEEE 802.11bc using deep reinforcement learning,”IEICE Society Conference, B-5-62, Sep. 2021.
  16. Sota Kondo, Koji Yamamoto, Yusuke Koda, Kota Yamashita, Takayuki Nishio, and Akihito Taya, “Impact of number of subcarriers to estimation accuracy in wireless sensing using beamforming feedbacks,”IEICE Society Conference, B-15-11, Sep. 2021.
  17. Koji Yamamoto, Mayu Mieda, Sota Kondo, Takayuki Nishio, Akihito Taya, and Kazuto Yano, “Interference source determination based on history of transmissions in WLANs,” IEICE Technical Report, RCS2021-141, Oct. 2021.
  18. Koji Yamamoto, Takayuki Nishio, Akihito Taya, Mai Ohta, Makoto Taromaru, Kazuto Yano, Kenta Suzuki Babatunde Ojetunde, “Research and development on wireless access technology based on factor analysis of communication quality using redundant information,”ATR Open House, Nov. 2021.

Award

  1. Yuto Kihira, VTS Tokyo/Japan Chapter 2020 Young Researcher’s Encouragement Award, “Adversarial reinforcement learning-based robust access point coordination against uncoordinated interference,”Nov. 2020.
  2. Tomoya Sunami, IEICE ICETC2020 Best Short Paper Award,“Training data generation for RSSI-based localization with camera object detection,”Dec. 2020.