2021 Fiscal Year Final Research Report
Computer vision for wireless communications
Project/Area Number |
18K13757
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 21020:Communication and network engineering-related
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Research Institution | Tokyo Institute of Technology (2020-2021) Kyoto University (2018-2019) |
Principal Investigator |
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Project Period (FY) |
2018-04-01 – 2022-03-31
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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 |
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.
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Free Research Field |
無線ネットワーク
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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。
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