Deep Reinforcement Learning-Based Method of Mobile Data Offloading. - Daisuke Mochizuki; Yu Abiko; Hiroshi Mineno; Takato Saito; Daizo Ikeda; Masaji Katagiri (ICMU, 2018)

Proposal of Allocating Radio Resources to Multiple Slices in 5G using Deep Reinforcement Learning. - Yu Abiko; Daisuke Mochizuki; Takato Saito; Daizo Ikeda; Tadanori Mizuno; Hiroshi Mineno (GCCE, 2019)

Delay-Tolerance-Based Mobile Data Offloading Using Deep Reinforcement Learning. - Daisuke Mochizuki; Yu Abiko; Takato Saito; Daizo Ikeda; Hiroshi Mineno (Sensors, 2019)

Radio Resource Allocation Method for Network Slicing using Deep Reinforcement Learning. - Yu Abiko; Takato Saito; Daizo Ikeda; Ken Ohta; Tadanori Mizuno; Hiroshi Mineno (ICOIN, 2020)

Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing Using Deep Reinforcement Learning. - Yu Abiko; Takato Saito; Daizo Ikeda; Ken Ohta; Tadanori Mizuno; Hiroshi Mineno (IEEE Access, 2020)

A Simple and Energy-Efficient Flooding Scheme for Wireless Routing. - Satoshi Yamazaki; Yu Abiko; Hideki Mizuno (Wirel. Commun. Mob. Comput., 2020)