Machine-Learning-Based Throughput Estimation Using Images for mmWave Communications. - Hironao Okamoto; Takayuki Nishio; Masahiro Morikura; Koji Yamamoto 001; Daisuke Murayama; Katsuya Nakahira (VTC Spring, 2017)

Recurrent neural network-based received signal strength estimation using depth images for mmWave communications. - Hironao Okamoto; Takayuki Nishio; Masahiro Morikura; Koji Yamamoto 001 (CCNC, 2018)

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)

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)