Ryo Miyatake

According to our database, Ryo Miyatake authored at least 4 papers between 2018 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks.

Takayuki Nishio, Hironao Okamoto, Kota Nakashima, Yusuke Koda, Koji Yamamoto, Masahiro Morikura, Yusuke Asai, Ryo Miyatake

IEEE J. Sel. Areas Commun., 2019

Transfer Learning-Based Received Power Prediction Using RGB-D Camera in mmWave Networks.

Tomoya Mikuma, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Yusuke Asai, Ryo Miyatake

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

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, Masahiro Morikura, Yusuke Asai, Ryo Miyatake

CoRR, 2018

Impact of Input Data Size on Received Power Prediction Using Depth Images for mm Wave Communications.

Kota Nakashima, Yusuke Koda, Koji Yamamoto, Hironao Okamoto, Takayuki Nishio, Masahiro Morikura, Yusuke Asai, Ryo Miyatake

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018