| 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 | 47 | 2019 |
| 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 | 45 | 2020 |
| 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 | 30 | 2019 |
| 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 | 28 | 2018 |
| 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 | 23 | 2020 |
| 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 | 21 | 2020 |
| 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 | 10 | 2018 |
| 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 | 9 | 2021 |
| 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 | 8 | 2019 |
| 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 | 6 | 2020 |
| 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 | 6 | 2018 |
| 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 | 5 | 2020 |
| 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 | 5 | 2020 |
| 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 | 4 | 2017 |
| 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 | 3 | 2021 |
| 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 | 2 | 2020 |
| Beamforming feedback-based model-driven angle of departure estimation toward firmware-agnostic WiFi sensing S Itahara, T Nishio, K Yamamoto arXiv preprint arXiv:2110.14211, 2021 | 1 | 2021 |
| AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning Y Koda, J Park, M Bennis, P Vepakomma, R Raskar 2021 IEEE Global Communications Conference (GLOBECOM), 2021 | 1 | 2021 |
| Stochastic Geometry Analysis of Wireless Backhaul Networks with Beamforming in Roadside Environments Y FU, K YAMAMOTO, Y KODA, T NISHIO, M MORIKURA, C HUANG, ... IEICE Transactions on Communications 104 (1), 118-127, 2021 | 1 | 2021 |
| Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks S Itahara, T Nishio, Y Koda, K Yamamoto IEEE Access 10, 14969-14979, 2022 | | 2022 |
Takayuki NishioSchool of Engineering, Tokyo TechVerified email at ict.e.titech.ac.jp
