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ORCIDYusuke Koda
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2020 – today
- 2024
[j16]Yusuke Koda, Ruiting Ouyang, Norichika Ohmi, Hiroshi Harada:
Survey, Taxonomy, and Unification of Standard mmWave Channel Models for WPAN, WLAN, and Cellular Systems in 6G. IEEE Commun. Stand. Mag. 8(3): 44-52 (2024)- [c17]Yusuke Koda, Norichika Ohmi, Hiroaki Endo, Hiroshi Harada:
95 GHz Sub- THz Multipath Propagation Measurement for Indoor Conference Room Desktop. WCNC 2024: 1-6 - 2023
- [j15]Yuto Kihira, Yusuke Koda
, Koji Yamamoto, Takayuki Nishio:
Adversarial Reinforcement Learning-Based Coordinated Robust Spatial Reuse in Broadcast-Overlaid WLANs. IEICE Trans. Commun. 106(2): 203-212 (2023) - [j14]Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto:
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data. IEEE Trans. Mob. Comput. 22(1): 191-205 (2023) - [c16]Hiroki Shimomura, Yusuke Koda, Takamochi Kanda, Koji Yamamoto, Takayuki Nishio, Akihito Taya:
Vision-Aided Frame-Capture-Based CSI Recomposition for WiFi Sensing: A Multimodal Approach. CCNC 2023: 913-914 - [c15]Hiroaki Endo, Yusuke Koda, Hiroshi Harada:
A Time-alignment Algorithm of Multiple Power Delay Profiles Measured by Antenna Rotations Towards Flexible mmWave Channel Measurements. VTC2023-Spring 2023: 1-5 - [c14]Hiroshi Harada, Shota Mori, Norichika Ohmi, Yusuke Koda, Keiichi Mizutani:
Design of 3GPP-based Millimeter-Wave Band Wireless Virtual Community Network. VTC2023-Spring 2023: 1-5 - [c13]Yusuke Koda, Norichika Ohmi, Hiroaki Endo, Hiroshi Harada:
105 GHz Multipath Propagation Measurements and Path Loss Model for Sub-THz Indoor Short-Range Communications. VTC Fall 2023: 1-6 - 2022
- [j13]Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto:
Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks. IEEE Access 10: 14969-14979 (2022) - [j12]Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya:
Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing: An Empirical Study. IEEE Access 10: 36924-36934 (2022) - [j11]Takamochi Kanda, Yusuke Koda, Yuto Kihira, Koji Yamamoto, Takayuki Nishio:
ACK-Less Rate Adaptation Using Distributional Reinforcement Learning for Reliable IEEE 802.11bc Broadcast WLANs. IEEE Access 10: 58858-58868 (2022) - [j10]Sohei Itahara, Sota Kondo, Kota Yamashita, Takayuki Nishio, Koji Yamamoto, Yusuke Koda:
Beamforming Feedback-Based Model-Driven Angle of Departure Estimation Toward Legacy Support in WiFi Sensing: An Experimental Study. IEEE Access 10: 59737-59747 (2022) - [j9]Kota Yamashita, Shotaro Kamiya, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Masahiro Morikura:
Penalized and Decentralized Contextual Bandit Learning for WLAN Channel Allocation with Contention-Driven Feature Extraction. IEICE Trans. Commun. 105-B(10): 1268-1279 (2022) - [j8]Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires Through Robust Adversarial Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 8(1): 232-245 (2022) - [c12]Takamochi Kanda, Yusuke Koda, Koji Yamamoto, Takayuki Nishio:
ACK-Less Rate Adaptation for IEEE 802.11bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning. CCNC 2022: 139-143 - [c11]Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto:
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CCNC 2022: 352-356 - 2021
- [b1]Yusuke Koda:
Visual Data-Driven Millimeter Wave Communication Systems. Kyoto University, Japan, 2021 - [j7]Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler:
When Wireless Communications Meet Computer Vision in Beyond 5G. IEEE Commun. Stand. Mag. 5(2): 76-83 (2021) - [j6]Yuxiang Fu, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Masahiro Morikura, Chun-Hsiang Huang, Yushi Shirato, Naoki Kita:
Stochastic Geometry Analysis of Wireless Backhaul Networks with Beamforming in Roadside Environments. IEICE Trans. Commun. 104-B(1): 118-127 (2021) - [j5]Yusuke Koda, Masao Shinzaki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking. IEEE Trans. Cogn. Commun. Netw. 7(4): 1216-1232 (2021) - [c10]Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar:
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning. GLOBECOM 2021: 1-6 - [i18]Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning. CoRR abs/2102.08055 (2021) - [i17]Takamochi Kanda, Yusuke Koda, Koji Yamamoto, Takayuki Nishio:
ACK-Less Rate Adaptation for IEEE 802.11bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning. CoRR abs/2104.11811 (2021) - [i16]Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar:
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning. CoRR abs/2105.00395 (2021) - [i15]Tomoya Sunami, Sohei Itahara, Yusuke Koda, Takayuki Nishio, Koji Yamamoto:
Computer Vision-assisted Decimeter-level Single-antenna RSSI Localization Harnessing Dynamic Blockage Events. CoRR abs/2107.04770 (2021) - [i14]Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto:
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CoRR abs/2110.15660 (2021) - [i13]Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya:
Bi-directional Beamforming Feedback-based Firmware-agnostic WiFi Sensing. CoRR abs/2112.06695 (2021) - [i12]Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto:
Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks. CoRR abs/2112.09407 (2021) - 2020
- [j4]Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Kota Nakashima:
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. IEEE Commun. Lett. 24(6): 1284-1288 (2020) - [j3]Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 6(2): 802-816 (2020) - [c9]Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks. CCNC 2020: 1-6 - [c8]Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Reducing Transmission Delay in EDCA Using Policy Gradient Reinforcement Learning. CCNC 2020: 1-6 - [c7]Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise. GLOBECOM 2020: 1-6 - [c6]Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference. VTC Fall 2020: 1-5 - [c5]Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Chun-Hsiang Huang, Yushi Shirato, Naoki Kita:
Deep Reinforcement Learning-based Beam Tracking from mmWave Antennas Installed on Overhead Messenger Wires. VTC Fall 2020: 1-6 - [i11]Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. CoRR abs/2003.00645 (2020) - [i10]Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference. CoRR abs/2004.00835 (2020) - [i9]Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise. CoRR abs/2004.06337 (2020) - [i8]Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction. CoRR abs/2007.08208 (2020) - [i7]Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto:
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data. CoRR abs/2008.06180 (2020) - [i6]Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler:
When Wireless Communications Meet Computer Vision in Beyond 5G. CoRR abs/2010.06188 (2020) - [i5]Yusuke Koda, Masao Shinzaki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking. CoRR abs/2012.00982 (2020)
2010 – 2019
- 2019
- [j2]Takayuki Nishio, Hironao Okamoto, Kota Nakashima, Yusuke Koda, Koji Yamamoto, Masahiro Morikura, Yusuke Asai, Ryo Miyatake:
Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks. IEEE J. Sel. Areas Commun. 37(11): 2413-2427 (2019) - [c4]Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction. CoNEXT Companion 2019: 54-56 - [i4]Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
End-to-End Learning of Proactive Handover Policy for Camera-Assisted mmWave Networks Using Deep Reinforcement Learning. CoRR abs/1904.04585 (2019) - [i3]Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks. CoRR abs/1906.05694 (2019) - [i2]Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction. CoRR abs/1911.01682 (2019) - 2018
- [j1]Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Measurement Method of Temporal Attenuation by Human Body in Off-the-Shelf 60 GHz WLAN with HMM-Based Transmission State Estimation. Wirel. Commun. Mob. Comput. 2018 (2018) - [c3]Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Reinforcement learning based predictive handover for pedestrian-aware mmWave networks. INFOCOM Workshops 2018: 692-697 - [c2]Kota Nakashima, Yusuke Koda, Koji Yamamoto, Hironao Okamoto, Takayuki Nishio, Masahiro Morikura, Yusuke Asai, Ryo Miyatake:
Impact of Input Data Size on Received Power Prediction Using Depth Images for mm Wave Communications. VTC Fall 2018: 1-5 - [i1]Hironao Okamoto, Takayuki Nishio, Kota Nakashima, Yusuke Koda, Koji Yamamoto, Masahiro Morikura, Yusuke Asai, Ryo Miyatake:
Machine-Learning-Based Future Received Signal Strength Prediction Using Depth Images for mmWave Communications. CoRR abs/1803.09698 (2018) - 2017
- [c1]Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Time Series Measurement of IEEE 802.11ad Signal Power Involving Human Blockage with HMM-Based State Estimation. VTC Fall 2017: 1-5
Coauthor Index
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