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Computer vision for wireless communications

Research Project

Project/Area Number 18K13757
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 21020:Communication and network engineering-related
Research InstitutionTokyo Institute of Technology (2020-2021)
Kyoto University (2018-2019)

Principal Investigator

Nishio Takayuki  東京工業大学, 工学院, 准教授 (80711522)

Project Period (FY) 2018-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2021: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Keywords無線通信 / コンピュータビジョン / ミリ波通信 / プロアクティブ制御 / 機械学習 / センサフュージョン / Vision and Wireless / 環境センシング / 無線ネットワーク / 連合学習 / 転移学習 / 受信電力予測 / 電波伝搬シミュレーション / 画像処理 / カメラ / LIDAR / 無線アクセス
Outline of Final Research Achievements

The objective of this research is to predict wireless communication quality from visual data (e.g., images) from cameras and radar. In wireless communications, especially those using ultra-high frequency bands such as millimeter wave communications, visible light communications, and terahertz communications, pedestrians, cars, buildings, and roadside trees become obstructions and reflections, which greatly affect the wireless communication quality. In this research, we established a technique to accurately predict wireless communication quality 0.5 to 1 second ahead based on spatio-temporal information contained in the vision data from cameras, radar, and LiDAR.

Academic Significance and Societal Importance of the Research Achievements

スマートフォンやIoT機器を用いた多様な情報通信サービスの実現に伴い、無線通信トラヒックが増加し周波数帯域は益々逼迫している。利用可能な帯域の拡大に向け、ミリ波やテラヘルツ波などの超高周波帯域の利活用が進んでいる。本研究は、超高周波帯域における周囲の環境の変動(歩行者や車両による遮蔽など)による通信品質の急峻な変動問題に対し、新しい解決策としてコンピュータビジョンにより未来の通信品質予測を可能にするものである。この技術は、途切れない安定した超高周波帯域通信の実現に寄与する。

Report

(5 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (23 results)

All 2022 2021 2020 2019 2018 Other

All Int'l Joint Research (3 results) Journal Article (4 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 4 results,  Open Access: 1 results) Presentation (15 results) (of which Int'l Joint Research: 5 results,  Invited: 4 results) Remarks (1 results)

  • [Int'l Joint Research] University of Oulu(フィンランド)

    • Related Report
      2021 Annual Research Report
  • [Int'l Joint Research] Deakin University(オーストラリア)

    • Related Report
      2021 Annual Research Report
  • [Int'l Joint Research] Nokia Bell Labs(米国)

    • Related Report
      2021 Annual Research Report
  • [Journal Article] Extreme ultra-reliable and low-latency communication2022

    • Author(s)
      Park Jihong、Samarakoon Sumudu、Shiri Hamid、Abdel-Aziz Mohamed K.、Nishio Takayuki、Elgabli Anis、Bennis Mehdi
    • Journal Title

      Nature Electronics

      Volume: 5 Issue: 3 Pages: 133-141

    • DOI

      10.1038/s41928-022-00728-8

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Millimeter-wave Received Power Prediction Using Point Cloud Data and Supervised Learning2022

    • Author(s)
      S. Ohta, T. Nishio, R. Kudo, K. Takahashi
    • Journal Title

      Proc. IEEE VTC-Spring 2022

      Volume: -

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] When Wireless Communications Meet Computer Vision in Beyond 5G2021

    • Author(s)
      Nishio Takayuki、Koda Yusuke、Park Jihong、Bennis Mehdi、Doppler Klaus
    • Journal Title

      IEEE Communications Standards Magazine

      Volume: 5 Issue: 2 Pages: 76-83

    • DOI

      10.1109/mcomstd.001.2000047

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data2021

    • Author(s)
      Itahara Sohei、Nishio Takayuki、Koda Yusuke、Morikura Masahiro、Yamamoto Koji
    • Journal Title

      IEEE Transactions on Mobile Computing

      Volume: - Issue: 1 Pages: 191-205

    • DOI

      10.1109/tmc.2021.3070013

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Joint Computation Offloading and Sampling Interval Optimization for Accuracy-Guaranteed Surveillance2021

    • Author(s)
      T. Nishio, Y. Inoue, Y. Nakayama, M. Katsurai
    • Organizer
      IEEE CCNC 2021
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Online Trainable Wireless Link Quality Prediction System using Camera Imagery2020

    • Author(s)
      S. Itahara, T. Nishio, M. Morikura, and K. Yamamoto
    • Organizer
      IEEE Globecom Open Workshop on Machine Learning in Communications
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Transfer Learning-Based Received Power Prediction with Ray-tracing Simulation and Small Amount of Measurement Data2020

    • Author(s)
      M. Iwasaki, T. Nishio, M. Morikura, and K. Yamamoto
    • Organizer
      IEEE VTC2020-Fall
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] 電波伝搬シミュレーションを用いた無線通信の受信電力データ拡張に関する一検討2020

    • Author(s)
      岩崎正寛、西尾理志、守倉正博、山本高至
    • Organizer
      電子情報通信学会ソサイエティ大会
    • Related Report
      2020 Research-status Report
  • [Presentation] カメラ画像を用いた無線通信品質予測のオンライン学習2020

    • Author(s)
      板原壮平、西尾理志、守倉正博、山本高至
    • Organizer
      電子情報通信学会SeMI研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning2020

    • Author(s)
      S. Itahara, T. Nishio, M. Morikura, and K. Yamamoto
    • Organizer
      IEEE VTC2020-Fall
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] 電波伝搬シミュレーションと深層学習を用いたミリ波通信のエリア品質予測の検討2020

    • Author(s)
      岩崎正寛, 西尾理志, 守倉正博, 山本高至
    • Organizer
      ICTイノベーション
    • Related Report
      2019 Research-status Report
  • [Presentation] 無線通信制御への応用に向けた機械学習の基礎と実践2020

    • Author(s)
      西尾理志
    • Organizer
      IEEE AP-S Kansai Joint Chapter Tutorial, Sept 2020.
    • Related Report
      2019 Research-status Report
    • Invited
  • [Presentation] 無線通信分野への応用に向けた機械学習の基礎2020

    • Author(s)
      西尾理志
    • Organizer
      信学総大, March 2020.
    • Related Report
      2019 Research-status Report
    • Invited
  • [Presentation] Machine Learning and Stochastic Geometry: Statistical Frameworks Against Uncertainty in Wireless LANs2020

    • Author(s)
      Koji Yamamoto and Takayuki Nishio
    • Organizer
      IEEE ICC tutorials, May 2019.
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 電波伝搬シミュレーションと深層学習を用いたミリ波受信電力予測手法の検討2019

    • Author(s)
      岩崎正寛, 西尾理志, 守倉正博, 山本高至
    • Organizer
      信学技報, vol. 119, no. 266, SeMI2019-78, pp. 73-74, 2019年11月.
    • Related Report
      2019 Research-status Report
  • [Presentation] RGBカメラと機械学習を用いたミリ波受信電力予測性能の検証2019

    • Author(s)
      村上健祐, 西尾理志, 守倉正博, 浅井裕介, 宮武遼
    • Organizer
      電子情報通信学会総合大会
    • Related Report
      2018 Research-status Report
  • [Presentation] 深層学習応用チュートリアル2018

    • Author(s)
      西尾理志
    • Organizer
      電子情報通信学MoNA研究会
    • Related Report
      2018 Research-status Report
  • [Presentation] 無線通信制御への機械学習応用2018

    • Author(s)
      西尾理志
    • Organizer
      次世代ワイヤレス技術講座
    • Related Report
      2018 Research-status Report
    • Invited
  • [Presentation] 無線通信制御への応用に向けた機械学習の基礎と実践2018

    • Author(s)
      西尾理志
    • Organizer
      IEEE AP-S Kansai Joint Chapter Tutorial
    • Related Report
      2018 Research-status Report
    • Invited
  • [Remarks] Research Project

    • URL

      https://nishio-laboratory.github.io/project/

    • Related Report
      2021 Annual Research Report

URL: 

Published: 2018-04-23   Modified: 2023-01-30  

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