フォロー
Yusuke Koda
Yusuke Koda
Graduate School of Informatics, Kyoto University
確認したメール アドレス: ieee.org - ホームページ
タイトル
引用先
引用先
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
S Itahara, T Nishio, Y Koda, M Morikura, K Yamamoto
IEEE Transactions on Mobile Computing, 2020
492020
Proactive received power prediction using machine learning and depth images for mmWave networks
T Nishio, H Okamoto, K Nakashima, Y Koda, K Yamamoto, M Morikura, ...
IEEE Journal on Selected Areas in Communications 37 (11), 2413-2427, 2019
472019
Handover Management for mmWave Networks with Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning
Y Koda, K Nakashima, K Yamamoto, T Nishio, M Morikura
IEEE Transactions on Cognitive Communications and Networking 6 (2), 802-816, 2019
292019
Reinforcement learning based predictive handover for pedestrian-aware mmWave networks
Y Koda, K Yamamoto, T Nishio, M Morikura
IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018
282018
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise
Y Koda, K Yamamoto, T Nishio, M Morikura
2020 IEEE Global Communications Conference (GLOBECOM), 1-6, 2020
262020
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction
Y Koda, J Park, M Bennis, K Yamamoto, T Nishio, M Morikura, ...
IEEE Communications Letters 24 (6), 1284-1288, 2020
232020
When wireless communications meet computer vision in beyond 5G
T Nishio, Y Koda, J Park, M Bennis, K Doppler
IEEE Communications Standards Magazine 5 (2), 76-83, 2021
112021
Measurement Method of Temporal Attenuation by Human Body in Off-the-Shelf 60 GHz WLAN with HMM-Based Transmission State Estimation
Y Koda, K Yamamoto, T Nishio, M Morikura
Wireless Communications and Mobile Computing 2018, 2018
102018
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction
Y Koda, J Park, M Bennis, K Yamamoto, T Nishio, M Morikura
Proceedings of the 15th International Conference on emerging Networking …, 2019
92019
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction
Y Koda, J Park, M Bennis, K Yamamoto, T Nishio, M Morikura
arXiv preprint arXiv:2007.08208, 2020
62020
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks
Y Koda, K Nakashima, K Yamamoto, T Nishio, M Morikura
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC …, 2020
62020
Impact of input data size on received power prediction using depth images for mm wave communications
K Nakashima, Y Koda, K Yamamoto, H Okamoto, T Nishio, M Morikura, ...
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018
62018
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference
Y Kihira, Y Koda, K Yamamoto, T Nishio, M Morikura
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020
52020
Time series measurement of IEEE 802.11 ad signal power involving human blockage with HMM-based state estimation
Y Koda, K Yamamoto, T Nishio, M Morikura
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 1-5, 2017
42017
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking
Y Koda, M Shinzaki, K Yamamoto, T Nishio, M Morikura, Y Shirato, ...
IEEE Transactions on Cognitive Communications and Networking, 2021
32021
Beamforming feedback-based model-driven angle of departure estimation toward legacy support in WiFi sensing: An experimental study
S Itahara, S Kondo, K Yamashita, T Nishio, K Yamamoto, Y Koda
IEEE Access, 2022
2*2022
Deep reinforcement learning-based beam tracking from mmwave antennas installed on overhead messenger wires
M Shinzaki, Y Koda, K Yamamoto, T Nishio, M Morikura, C Huang, ...
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-6, 2020
22020
Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing: An Empirical Study
S Kondo, S Itahara, K Yamashita, K Yamamoto, Y Koda, T Nishio, A Taya
IEEE Access 10, 36924-36934, 2022
12022
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
R Hanahara, S Itahara, K Yamashita, Y Koda, A Taya, T Nishio, ...
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022
12022
ACK-Less Rate Adaptation for IEEE 802.11 bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning
T Kanda, Y Koda, K Yamamoto, T Nishio
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022
12022
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