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Radio Environment Recognized Wireless Vehicle Network for Cooperative Automated Driving(Fostering Joint International Research)

Research Project

Project/Area Number 16KK0124
Research Category

Fund for the Promotion of Joint International Research (Fostering Joint International Research)

Allocation TypeMulti-year Fund
Research Field Communication/Network engineering
Research InstitutionThe University of Electro-Communications

Principal Investigator

Fujii Takeo  電気通信大学, 先端ワイヤレス・コミュニケーション研究センター, 教授 (10327710)

Project Period (FY) 2017 – 2019
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥11,440,000 (Direct Cost: ¥8,800,000、Indirect Cost: ¥2,640,000)
Keywords車両無線ネットワー / 無線環境データベース / 電波伝搬モデル化 / 自動運転 / 車両無線ネットワーク / 伝搬伝搬モデル化
Outline of Final Research Achievements

In this research, we have targeted high reliability, low latency and high capacity advanced wireless vehicle network for cooperated automated vehicles. Here, unstable communication quality of wireless vehicle networks is predicted by using self-organized wireless reliability prediction and wireless propagation modeling by gathering communication status of wireless terminal installed on each vehicle to cloud. I visited UC Berkeley and Toyota InfoTechnology Center USA for six moth. The measurement campaign of vehicle to vehicle communication on the test course at UC Berkeley for preparing spectrum database. By using the measurement data, highly reliable wireless vehicle networks are realized.

Academic Significance and Societal Importance of the Research Achievements

本研究では、無線通信が持つ宿命である電波環境の不確定性を、個人端末や車両に設置した無線機でやり取りされる通信の状態をデータベース化することで予測し、その予測値に基づき信頼性を担保した通信をできるようにする検討を行った。特に自動運転に活用が期待される車両ネットワーク向け通信は、高信頼・低遅延・大容量通信が求められるなどその要求条件が厳しく適用効果が大きい。本研究成果は、このような不確定性の高い無線通信環境を、通信状況のビックデータを用いて把握することで、無線通信の信頼性改善に役立てる研究であり、車両間通信のみでなく様々な無線通信の高信頼化、効率化に貢献できる。

Report

(2 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • Research Products

    (6 results)

All 2019 2018

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

  • [Int'l Joint Research] UC Berkeley(米国)2018

    • Year and Date
      2018-03-20
    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] Toyota Infotechnology Center(米国)2018

    • Year and Date
      2018-03-20
    • Related Report
      2019 Annual Research Report
  • [Journal Article] On the Performance of Neural Network Residual Kriging in Radio Environment Mapping2019

    • Author(s)
      Koya Sato, Kei Inage, and Takeo Fujii
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 94557-94568

    • DOI

      10.1109/access.2019.2928832

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] Demo: Highly accurate prediction of radio environment for V2V communications2019

    • Author(s)
      Keita Katagiri and Takeo Fujii
    • Organizer
      IEEE DySPAN 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Highly Accurate Prediction of Radio Propagation using Model Classifier2019

    • Author(s)
      Keita Katagiri, Keita Onose Koya Sato, Kei Inage, Takeo Fujii
    • Organizer
      IEEE VTC2019-Spring
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 車車間通信向け高精度電波環境推定手法の検討2019

    • Author(s)
      片桐啓太 藤井威生
    • Organizer
      電子情報通信学会SR研究会
    • Related Report
      2019 Annual Research Report

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Published: 2017-03-15   Modified: 2021-02-19  

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