膨大な分散データの利活用が重要なインフラとなる次世代に向け、ワイヤレス、時空間統計、分散処理などの観点から研究を進めています。
キーワード: 無線ネットワーク, Beyond 5G/6G, センシング, 時空間統計, 分散機械学習, ガウス過程, ベイズ最適化, ...
Our group works in research from various perspectives (e.g., wireless, spatio-temporal statistics, and distributed processing) for the next generation, in which data and sensors will become an essential social infrastructure.
Keywords: Wireless networks, spatio-temporal statistics, distributed machine learning, Gaussian processes, Bayesian optimization, ...
A co-authored paper won the Best Paper Award in IEICE SmartCom2026, held in Singapore.
K. Suto, K. Sato, H. Hashida, and N. Zhang, "Multiplier-Free Feature Extraction for Edge Inference: Letting the Wireless Channel Do the Computing."
A preprint has been posted on arXiv. This work has been submitted to an international conference for possible presentation.
K. Kanzaki and K. Sato, "Physics-Guided Bayesian Optimization for High-Dimensional Mixed-Variable MIMO Base Station Design." arXiv
佐藤が准教授に昇任
K. Sato has been promoted to Associate Professor.
佐藤とD1 神崎がIEICEソサイエティ大会で講演
佐藤, "[チュートリアル] 高次元ベイズ最適化による無線基地局の自動設計, " 信学ソ大, ABT-1 デジタルツイン時代を拓く通信・センシング・学習の融合〜セマンティック通信・表現学習・最適設計の最前線〜, 2026年9月. [SpeakerDeck]
神崎, 佐藤, "組合わせ構造を有する基地局設計問題のための伝搬特徴量活用型高次元ベイズ最適化," 信学ソ大, B-5B-09, 2026年9月.
A preprint has been posted on arXiv. This work has been submitted to an international journal for possible presentation.
K. Kanzaki, K. Suto, and K. Sato, "Radio Map Construction with Post-Hoc Location Calibration under Quasi-Static Positioning Errors: Joint Estimation, Performance Bounds, and GNSS-Based Evaluation." arXiv
Sato gave an invited talk at IEEE iWEM2026.
K. Sato, "X-to-X Radio Map Construction: Challenges and Practical Enablers."
Kanzaki gave a requested presentation at APWCS2026.
K. Kanzaki and K. Sato, "Ray-Tracing-Based Feature-Aware Bayesian Optimization for Joint Base Station Selection and Configuration."
D1 神崎, M1 髙森がIEICEスマート無線研究会@山口で発表
髙森, 佐藤, "ブロック座標降下法を用いたベイズ最適化による高密度な無線基地局設計."
神崎, 佐藤, "電波伝搬の空間相関に着目した観測座標事後補正および電波マップ構築の一体設計とその下界解析."
佐藤がSICE制御部門・プラントモデリング部会オンライン研究会「モデリング・制御のための学習・最適化の新展開」で講演
佐藤光哉, "ガウス過程による無線通信システムのモデリング：応用例と展望"
Takamori gave a poster presentation at IEEE INFOCOM2026.
K. Takamori and K. Sato, "Scalable Base Station Configuration via Bayesian Optimization with Block Coordinate Descent." [arXiv]