Yusuke Koda
Orcid: 0000-0003-3344-7370
According to our database1,
Yusuke Koda
authored at least 44 papers
between 2017 and 2024.
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Collaborative distances:
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Bibliography
2024
Toward 3GPP Sidelink-Based Millimeter Wave Wireless Personal Area Network for Out-of-Coverage Scenarios.
IEEE Internet Things J., November, 2024
Survey, Taxonomy, and Unification of Standard mmWave Channel Models for WPAN, WLAN, and Cellular Systems in 6G.
IEEE Commun. Stand. Mag., September, 2024
95 GHz Sub- THz Multipath Propagation Measurement for Indoor Conference Room Desktop.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Performance Evaluation of Low Sub-THz 5G NR Sidelink for Ultra-Wideband Short-Range Communication.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
105 GHz Indoor Omnidirectional Power Delay Profile Measurement in Personal Office Desktop Environment.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
2023
Adversarial Reinforcement Learning-Based Coordinated Robust Spatial Reuse in Broadcast-Overlaid WLANs.
IEICE Trans. Commun., February, 2023
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data.
IEEE Trans. Mob. Comput., 2023
105 GHz Multipath Propagation Measurements and Path Loss Model for Sub-THz Indoor Short-Range Communications.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
A Time-alignment Algorithm of Multiple Power Delay Profiles Measured by Antenna Rotations Towards Flexible mmWave Channel Measurements.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Vision-Aided Frame-Capture-Based CSI Recomposition for WiFi Sensing: A Multimodal Approach.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
Penalized and Decentralized Contextual Bandit Learning for WLAN Channel Allocation with Contention-Driven Feature Extraction.
IEICE Trans. Commun., October, 2022
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires Through Robust Adversarial Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2022
Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing: An Empirical Study.
IEEE Access, 2022
ACK-Less Rate Adaptation Using Distributional Reinforcement Learning for Reliable IEEE 802.11bc Broadcast WLANs.
IEEE Access, 2022
Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks.
IEEE Access, 2022
Beamforming Feedback-Based Model-Driven Angle of Departure Estimation Toward Legacy Support in WiFi Sensing: An Experimental Study.
IEEE Access, 2022
ACK-Less Rate Adaptation for IEEE 802.11bc Enhanced Broadcast Services Using Sim-to-Real Deep Reinforcement Learning.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
2021
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking.
IEEE Trans. Cogn. Commun. Netw., 2021
Stochastic Geometry Analysis of Wireless Backhaul Networks with Beamforming in Roadside Environments.
IEICE Trans. Commun., 2021
IEEE Commun. Stand. Mag., 2021
Computer Vision-assisted Decimeter-level Single-antenna RSSI Localization Harnessing Dynamic Blockage Events.
CoRR, 2021
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning.
Proceedings of the IEEE Global Communications Conference, 2021
2020
Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2020
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction.
IEEE Commun. Lett., 2020
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction.
CoRR, 2020
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction.
CoRR, 2020
Deep Reinforcement Learning-based Beam Tracking from mmWave Antennas Installed on Overhead Messenger Wires.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise.
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020
2019
Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks.
IEEE J. Sel. Areas Commun., 2019
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks.
CoRR, 2019
End-to-End Learning of Proactive Handover Policy for Camera-Assisted mmWave Networks Using Deep Reinforcement Learning.
CoRR, 2019
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction.
Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019
2018
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
Machine-Learning-Based Future Received Signal Strength Prediction Using Depth Images for mmWave Communications.
CoRR, 2018
Impact of Input Data Size on Received Power Prediction Using Depth Images for mm Wave Communications.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Reinforcement learning based predictive handover for pedestrian-aware mmWave networks.
Proceedings of the IEEE INFOCOM 2018, 2018
2017
Time Series Measurement of IEEE 802.11ad Signal Power Involving Human Blockage with HMM-Based State Estimation.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017