Impact of Input Data Size on Received Power Prediction Using Depth Images for mm Wave Communications. - Kota Nakashima; Yusuke Koda; Koji Yamamoto 001; Hironao Okamoto; Takayuki Nishio; Masahiro Morikura; Yusuke Asai; Ryo Miyatake (VTC Fall, 2018)

Machine-Learning-Based Future Received Signal Strength Prediction Using Depth Images for mmWave Communications. - Hironao Okamoto; Takayuki Nishio; Kota Nakashima; Yusuke Koda; Koji Yamamoto 001; Masahiro Morikura; Yusuke Asai; Ryo Miyatake (CoRR, 2018)

End-to-End Learning of Proactive Handover Policy for Camera-Assisted mmWave Networks Using Deep Reinforcement Learning. - Yusuke Koda; Kota Nakashima; Koji Yamamoto 001; Takayuki Nishio; Masahiro Morikura (CoRR, 2019)

Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks. - Takayuki Nishio; Hironao Okamoto; Kota Nakashima; Yusuke Koda; Koji Yamamoto 001; Masahiro Morikura; Yusuke Asai; Ryo Miyatake (IEEE J. Sel. Areas Commun., 2019)

Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks. - Yusuke Koda; Kota Nakashima; Koji Yamamoto 001; Takayuki Nishio; Masahiro Morikura (CCNC, 2020)

Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs With Graph Convolutional Networks. - Kota Nakashima; Shotaro Kamiya; Kazuki Ohtsu; Koji Yamamoto 001; Takayuki Nishio; Masahiro Morikura (IEEE Access, 2020)

Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. - Yusuke Koda; Jihong Park; Mehdi Bennis; Koji Yamamoto 001; Takayuki Nishio; Masahiro Morikura; Kota Nakashima (IEEE Commun. Lett., 2020)

Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning. - Yusuke Koda; Kota Nakashima; Koji Yamamoto 001; Takayuki Nishio; Masahiro Morikura (IEEE Trans. Cogn. Commun. Netw., 2020)