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Space-Time Interaction Design: Fusion of Stochastic Geometry and Game Theory

Research Project

Project/Area Number 18H01442
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 21020:Communication and network engineering-related
Research InstitutionKyoto University

Principal Investigator

Yamamoto Koji  京都大学, 情報学研究科, 准教授 (30423015)

Co-Investigator(Kenkyū-buntansha) 西尾 理志  東京工業大学, 工学院, 准教授 (80711522)
守倉 正博  京都大学, 情報学研究科, 教授 (20467400)
Project Period (FY) 2018-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥15,860,000 (Direct Cost: ¥12,200,000、Indirect Cost: ¥3,660,000)
Fiscal Year 2021: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2020: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2019: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2018: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Keywords無線ネットワーク / 確率幾何 / 機械学習 / ワイヤレスセンシング / ゲーム理論 / 強化学習
Outline of Final Research Achievements

あBy integrating stochastic geometry, game theory, and machine learning, we have created an autonomous configuration technology for physical layout and wireless networks. Specifically, the introduction of stochastic geometry analysis enables performance analysis of radio resource management. In addition, we have achieved highly efficient radio resource management according to the radio environment based on the fusion of stochastic geometry analysis and reinforcement learning, the introduction of deep reinforcement learning, and wireless sensing.

Academic Significance and Societal Importance of the Research Achievements

本研究の成果は、今日のインフラを構成する無線LAN、携帯電話といった無線通信システムの通信容量などの性能向上をもたらすのみならず、今日不可欠な人手による運用コストを、新たに加える環境認知結果を用いた自動化により低減可能であることを示している。さらには無線通信システムに通信のみならず、ワイヤレスセンシングという新たなアプリケーションを付与させるという、新たな展開に寄与する。

Report

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

    (53 results)

All 2022 2021 2020 2019 2018 Other

All Int'l Joint Research (8 results) Journal Article (8 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 8 results,  Open Access: 7 results) Presentation (37 results) (of which Int'l Joint Research: 10 results,  Invited: 4 results)

  • [Int'l Joint Research] オウル大学(フィンランド)

    • Related Report
      2021 Annual Research Report
  • [Int'l Joint Research] University of Oulu(フィンランド)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Deakin University(オーストラリア)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Yonsei University(韓国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] University of Oulu(フィンランド)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] Universitas Gadjah Mada(インドネシア)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] Deakin University(オーストラリア)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] Universitas Gadjah Mada(インドネシア)

    • Related Report
      2018 Annual Research Report
  • [Journal Article] Penalized and Decentralized Contextual Bandit Learning for WLAN Channel Allocation with Contention-Driven Feature Extraction2022

    • Author(s)
      YAMASHITA Kota、KAMIYA Shotaro、YAMAMOTO Koji、KODA Yusuke、NISHIO Takayuki、MORIKURA Masahiro
    • Journal Title

      IEICE Transactions on Communications

      Volume: E105.B Issue: 10 Pages: 1268-1279

    • DOI

      10.1587/transcom.2021EBP3197

    • ISSN
      0916-8516, 1745-1345
    • Year and Date
      2022-10-01
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing: An Empirical Study2022

    • Author(s)
      Kondo Sota、Itahara Sohei、Yamashita Kota、Yamamoto Koji、Koda Yusuke、Nishio Takayuki、Taya Akihito
    • Journal Title

      IEEE Access

      Volume: 10 Pages: 36924-36934

    • DOI

      10.1109/access.2022.3165029

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction2020

    • Author(s)
      Koda Yusuke、Park Jihong、Bennis Mehdi、Nishio Takayuki、Yamamoto Koji、Morikura Masahiro、Nakashima Kota
    • Journal Title

      IEEE Communications Letters

      Volume: - Issue: 6 Pages: 1-1

    • DOI

      10.1109/lcomm.2020.2978824

    • Related Report
      2020 Annual Research Report 2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs With Graph Convolutional Networks2020

    • Author(s)
      Nakashima Kota、Kamiya Shotaro、Ohtsu Kazuki、Yamamoto Koji、Nishio Takayuki、Morikura Masahiro
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 31823-31834

    • DOI

      10.1109/access.2020.2973140

    • NAID

      120006813312

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Thompson Sampling-Based Channel Selection Through Density Estimation Aided by Stochastic Geometry2020

    • Author(s)
      Deng Wangdong、Kamiya Shotaro、Yamamoto Koji、Nishio Takayuki、Morikura Masahiro
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 14841-14850

    • DOI

      10.1109/access.2020.2966657

    • NAID

      120006898176

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] SINR Distribution and Scheduling Gain Analysis of Uplink Channel-Adaptive Scheduling2020

    • Author(s)
      Kamiya Shotaro、Yamamoto Koji、Kim Seong-Lyun、Nishio Takayuki、Morikura Masahiro
    • Journal Title

      IEEE Transactions on Wireless Communications

      Volume: - Issue: 4 Pages: 1-1

    • DOI

      10.1109/twc.2019.2963866

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Novel Radio Resource Optimization Scheme in Closed Access Femtocell Networks Based on Bat Algorithm2019

    • Author(s)
      MUSTIKA I Wayan、FATH Nifty、SULISTYO Selo、YAMAMOTO Koji、MURATA Hidekazu
    • Journal Title

      IEICE Transactions on Communications

      Volume: E102.B Issue: 4 Pages: 660-669

    • DOI

      10.1587/transcom.2018SEI0002

    • NAID

      130007621808

    • ISSN
      0916-8516, 1745-1345
    • Year and Date
      2019-04-01
    • Related Report
      2019 Annual Research Report 2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Handover Management for mmWave Networks with Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning2019

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

      IEEE Transactions on Cognitive Communications and Networking

      Volume: - Issue: 2 Pages: 1-1

    • DOI

      10.1109/tccn.2019.2961655

    • Related Report
      2020 Annual Research Report 2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] ビームフォーミングフィードバックを用いたモデル駆動な出発角推定の検討2022

    • Author(s)
      板原壮平, 西尾理志, 山本高至
    • Organizer
      信学技報SeMI2021-68
    • Related Report
      2021 Annual Research Report
  • [Presentation] 双方向ビームフォーミングフィードバックを用いたワイヤレスセンシング精度向上手法2022

    • Author(s)
      近藤綜太, 板原壮平, 山下皐太, 山本高至, 香田優介, 西尾理志, 田谷昭仁
    • Organizer
      信学技報SeMI2021-69
    • Related Report
      2021 Annual Research Report
  • [Presentation] コンピュータービジョンによる単一アンテナかつ単一アンカーを用いたRSSI端末位置推定2022

    • Author(s)
      角南智也, 板原壮平, 香田優介, 西尾理志, 山本高至
    • Organizer
      信学技報SeMI2021-75
    • Related Report
      2021 Annual Research Report
  • [Presentation] Frame-capture-based CSI recomposition pertaining to firmware-agnostic WiFi sensing2021

    • Author(s)
      R. Hanahara, S. Itahara, K. Yamashita, Y. Koda, A. Taya, T. Nishio, and K. Yamamoto
    • Organizer
      the 19th IEEE Annual Consumer Communications & Networking Conference (CCNC 2022)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Respiratory rate estimation based on WiFi frame capture2021

    • Author(s)
      T. Kanda, T. Sato, H. Awano, S. Kondo, and K. Yamamoto
    • Organizer
      the 19th IEEE Annual Consumer Communications & Networking Conference (CCNC 2022)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ビームフォーミングフィードバックを用いたワイヤレスセンシングにおける推定精度へのサブキャリア数の影響2021

    • Author(s)
      近藤綜太, 山本高至, 香田優介, 山下皐太, 西尾理志, 田谷昭仁
    • Organizer
      信学ソ大B-15-11
    • Related Report
      2021 Annual Research Report
  • [Presentation] 無線LANリソース制御への機械学習応用2021

    • Author(s)
      山本高至
    • Organizer
      電気系学会関西支部連合大会
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] WiFiフレームキャプチャに基づく呼吸数推定に関する検討2021

    • Author(s)
      神田高望, 佐藤高史, 粟野皓光, 近藤綜太, 山本高至
    • Organizer
      信学技報SeMI2021-43
    • Related Report
      2021 Annual Research Report
  • [Presentation] ビームフォーミングフィードバックを用いたワイヤレスセンシングにおける端末配置の推定精度への影響2021

    • Author(s)
      近藤綜太, 山本高至, 香田優介, 山下皐太, 西尾理志, 田谷昭仁
    • Organizer
      信学技報SeMI2021-46
    • Related Report
      2021 Annual Research Report
  • [Presentation] フレームキャプチャからのCSI復元によるWiFiセンシング2021

    • Author(s)
      花原遼祐, 板原壮平, 山下皐太, 香田優介, 田谷昭仁, 西尾理志, 山本高至
    • Organizer
      信学技報SeMI2021-47
    • Related Report
      2021 Annual Research Report
  • [Presentation] 機械学習・無線LANセンシングによる通信品質要因解析2021

    • Author(s)
      山本高至
    • Organizer
      信学技報RCS2021-190
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] 無線ネットワークのための機械学習2021

    • Author(s)
      山本高至
    • Organizer
      電子情報通信学会総合大会
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise2020

    • Author(s)
      Yusuke Koda, Koji Yamamoto, Takayuki Nishio, and Masahiro Morikura
    • Organizer
      IEEE GLOBECOM 2020
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 差分プライベートなOver-the-Air 演算を実現する送信電力制御の提案2020

    • Author(s)
      香田優介, 山本高至, 西尾理志, 守倉正博
    • Organizer
      電子情報通信学会ソサイエティ大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 文脈付きバンディット学習に基づく無線LANチャネル選択のための特徴抽出手法2020

    • Author(s)
      山下皐太, 神矢翔太郎, 山本高至, 西尾理志, 守倉正博
    • Organizer
      電子情報通信学会SeMI研究会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Cooperative sensing in deep RL-based image-to-decision proactive handover for mmWave networks2020

    • Author(s)
      Y. Koda, K. Nakashima, K. Yamamoto, T. Nishio, and M. Morikura
    • Organizer
      the 17th IEEE Annual Consumer Communications & Networking Conference (CCNC 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Thompson Sampling-Based Heterogeneous Network Selection Considering Stochastic Geometry Analysis2020

    • Author(s)
      W. Deng, S. Kamiya, K. Yamamoto, T. Nishio, and M. Morikura
    • Organizer
      the 17th IEEE Annual Consumer Communications & Networking Conference (CCNC 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A sequential WLAN channel selection adaptive to factors outside the system2020

    • Author(s)
      K. Ohtsu, S. Kamiya, K. Yamamoto, T. Nishio, M. Morikura, and N. Kato
    • Organizer
      the 17th IEEE Annual Consumer Communications & Networking Conference (CCNC 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Communication-efficient cooperative contextual bandit and its application to Wi-Fi BSS Selection2020

    • Author(s)
      T. Sakakibara, T. Nishio, A. Taya, M. Morikura, K. Yamamoto, and T. Nabetani
    • Organizer
      the 17th IEEE Annual Consumer Communications & Networking Conference (CCNC 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Reducing transmission delay in EDCA using policy gradient reinforcement learning2020

    • Author(s)
      M. Shinzaki, Y. Koda, K. Yamamoto, T. Nishio, and M. Morikura
    • Organizer
      the 17th IEEE Annual Consumer Communications & Networking Conference (CCNC 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Frameworks Against Uncertainty in WLANs - Part 1 Resource Management for WLANs2019

    • Author(s)
      Koji YAMAMOTO
    • Organizer
      信学技報 RCS2019-25
    • Related Report
      2019 Annual Research Report
  • [Presentation] Frameworks Against Uncertainty in WLANs - Part 2 Stochastic Geometry2019

    • Author(s)
      Koji YAMAMOTO
    • Organizer
      信学技報 RCS2019-26
    • Related Report
      2019 Annual Research Report
  • [Presentation] Frameworks Against Uncertainty in WLANs - Part 3 Reinforcement Learning2019

    • Author(s)
      Koji YAMAMOTO
    • Organizer
      信学技報 RCS2019-27
    • Related Report
      2019 Annual Research Report
  • [Presentation] スマート工場に向けたミリ波通信利用時の最適移動経路の学習2019

    • Author(s)
      三枝茉由, 神矢翔太郎, 中島功太, 山本高至, 西尾理志, 守倉正博
    • Organizer
      信学技報 RCS2019-55
    • Related Report
      2019 Annual Research Report
  • [Presentation] Inter-Operator mmWave Base Station Sharing: A User Offloading Game2019

    • Author(s)
      Bo Yin, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
    • Organizer
      信学ソ大 B-5-74
    • Related Report
      2019 Annual Research Report
  • [Presentation] マルチカメラを用いた深層強化学習による ミリ波通信プロアクティブハンドオーバ2019

    • Author(s)
      香田優介, 山本高至, 西尾理志, 守倉正博
    • Organizer
      信学ソ大 B-15-9
    • Related Report
      2019 Annual Research Report
  • [Presentation] Deep reinforcement learning-based channel allocation for wireless LANs with graph convolutional networks2019

    • Author(s)
      K. Nakashima, S. Kamiya, K. Ohtsu, K. Yamamoto, T. Nishio, and M. Morikura
    • Organizer
      the 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 深層強化学習を用いた無線LANチャネル制御学習性能向上のためのリプレイバッファ格納手法の検討2019

    • Author(s)
      中島功太, 神矢翔太郎, 大津一樹, 山本高至, 西尾理志, 守倉正博
    • Organizer
      MIKA 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] グラフに基づく強化学習による無線LANチャネル制御の学習効率向上2019

    • Author(s)
      大津一樹, 神矢翔太郎, 山本高至, 西尾理志, 守倉正博
    • Organizer
      MIKA 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] 深層強化学習による深度画像からのミリ波通信プロアクティブハンドオーバ制御2019

    • Author(s)
      香田優介, 中島功太, 山本高至, 西尾理志, 守倉正博
    • Organizer
      RISING 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction2019

    • Author(s)
      Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
    • Organizer
      CoNEXT 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 深層強化学習による画像からのミリ波通信プロアクティブハンドオーバ2019

    • Author(s)
      香田優介, 中島功太, 山本高至, 西尾理志, 守倉正博
    • Organizer
      信学総大, B-5-100
    • Related Report
      2018 Annual Research Report
  • [Presentation] 強化学習による遮蔽者の位置情報を活用したミリ波通信ハンドオーバ制御の実験的評価2018

    • Author(s)
      香田優介, 山本高至, 西尾理志, 守倉正博
    • Organizer
      信学技報RCS2018-101
    • Related Report
      2018 Annual Research Report
  • [Presentation] ポアソンセルラネットワークにおけるマルチユーザスケジューリング利得の解析2018

    • Author(s)
      山本高至
    • Organizer
      信学技報RCS2018-96
    • Related Report
      2018 Annual Research Report
  • [Presentation] 深層学習を用いた深度画像からのミリ波通信受信信号電力予測2018

    • Author(s)
      中島功太, 香田優介, 山本高至, 岡本浩尚, 西尾理志, 守倉正博
    • Organizer
      信学技報RCS2018-95
    • Related Report
      2018 Annual Research Report
  • [Presentation] 遮蔽者の位置情報を活用した強化学習によるミリ波通信ハンドオーバの実測値に基づく性能評価2018

    • Author(s)
      香田優介, 山本高至, 西尾理志, 守倉正博
    • Organizer
      信学ソ大, B-17-8
    • Related Report
      2018 Annual Research Report
  • [Presentation] ゲーム理論の無線リソース制御への応用2018

    • Author(s)
      山本高至
    • Organizer
      信学技報IT2018-31
    • Related Report
      2018 Annual Research Report
    • Invited

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

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