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, ...
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, ...
Two papers have been accepted for presentation at IEEE GLOBECOM Workshops.
K. Sato, "Mitigating the Impact of Location Uncertainty on Radio Map-Based Predictive Rate Selection via Noisy-Input Gaussian Process," 2025 IEEE GLOBECOM Workshops: Workshop on Radio Maps for Communications and Sensing.
K. Kanzaki and K. Sato, "Joint Ex-Post Location Calibration and Radio Map Construction under Biased Positioning Errors," 2025 IEEE GLOBECOM Workshops: Workshop on The Interplay of Digital Twins and Artificial Intelligence for Next-Generation IoT.
Asst. Prof. Sato has been elevated to the grade of IEEE Senior Member.
M2 神崎がIEICE RISING研究会@盛岡で講演
神崎, 佐藤, "[依頼講演] 測位のバイアス誤差を考慮した観測座標事後補正に基づく電波マップの高精度化" [プログラム]
佐藤助教がIEICE RCS研究会@伊勢市で講演
佐藤, 神崎, "[招待講演] 電波マップ構築における測位依存の低減技術とその活用法" [プログラム]
A co-authored paper has been accepted for publication in IEEE Internet of Things Journal (Q1, IF: 8.2).
K. Ando et al., "Bayesian Optimization aided Low-Complexity Beamforming Design for Over-the-Air-Computing." [IEEE Xplore]
Our paper has been accepted for publication in IEEE Transactions on Cognitive Communications and Networking (Q1, IF: 7.4).
K. Sato and K. Ishibashi, "Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression." [IEEE Xplore]
A co-authored paper has been accepted for publication in IEEE Access (Q2, IF: 3.4).
M. Miura et al., "Fast Reflective Beamforming with Situational Awareness in IRS Assisted Communication Systems." [IEEE Xplore]
第4期生が配属
A co-authored has been accepted for publication in IEEE Wireless Communications Letters (Q1, IF: 4.6).
N. Suga et al., "RGB-D Sensor-Aided Radio Map Estimation Using Materials Classification." [IEEE Xplore]
博士前期課程学生2名が修了
M1 神崎が令和6年度電気通信大学 学生表彰を受賞
佐藤助教を研究代表者とした研究課題が科研費 基盤研究(B)に採択決定
題目: "デジタルツインに資するISACの時空間展開フレームワーク"
期間: 2025年4月-2029年3月