Control Overhead Reduction Method Employing Frequency Correlation for MU-MIMO-OFDM THP with User Scheduling. - Yukiko Shimbo; Nobuhiro Hiruma; Hirofumi Suganuma; Fumiaki Maehara (VTC Spring, 2018)

Theoretical System Capacity of Multi-User MIMO THP in the Presence of Terminal Mobility. - Hirofumi Suganuma; Yukiko Shimbo; Nobuhiro Hiruma; Hiromichi Tomeba; Takashi Onodera; Fumiaki Maehara (VTC Fall, 2018)

Low Complexity Fair User Scheduling Employing Spatial Orthogonality for MU-MIMO Systems. - Ei Nandar Maung; Yukiko Shimbo; Hirofumi Suganuma; Fumiaki Maehara (ICT, 2019)

Repetition Control Method Using Terminal Mobility for Uplink Grant-Free URLLC. - Shinichi Ozaku; Yukiko Shimbo; Hirofumi Suganuma; Fumiaki Maehara (ISPACS, 2019)

Efficient Proportional Fairness Scheduling Method Using User Distribution in MU-MIMO THP. - Yukiko Shimbo; Hirofumi Suganuma; Hiromichi Tomeba; Takashi Onodera; Fumiaki Maehara (VTC Spring, 2019)

Deep Learning Based CoMP Transmission Method Using Vehicle Position Information for Taxi Radio Systems. - Kazuki Kojima; Yukiko Shimbo; Hirofumi Suganuma; Fumiaki Maehara (ICAIIC, 2020)

Adaptive Repetition Control Using Terminal Mobility for Uplink Grant-Free URLLC. - Shinichi Ozaku; Yukiko Shimbo; Hirofumi Suganuma; Fumiaki Maehara (VTC Spring, 2020)

Analysis of the Impact of Antenna Arrangement on System Capacity of MU-MIMO in the Presence of Terminal Mobility. - Hirofumi Suganuma; Yukiko Shimbo; Hiromichi Tomeba; Takashi Onodera; Fumiaki Maehara (VTC Fall, 2020)

Deep Learning Based Hybrid Multiple Access Consisting of SCMA and OFDMA Using User Position Information. - Yuta Kumagai; Naoya Gonda; Yukiko Shimbo; Hirofumi Suganuma; Fumiaki Maehara (ICAIIC, 2021)

Deep Learning Based Resource Allocation Method to Control System Capacity and Fairness for MU-MIMO THP. - Yukiko Shimbo; Hirofumi Suganuma; Hiromichi Tomeba; Takashi Onodera; Fumiaki Maehara (VTC Spring, 2021)

An Efficient Method for Combining Multi-User MIMO Tomlinson-Harashima Precoding With User Selection Based on Spatial Orthogonality. - Hirofumi Suganuma; Yukiko Shimbo; Tomoki Maruko; Hiromichi Tomeba; Takashi Onodera; Fumiaki Maehara (IEEE Access, 2021)