Deep Unfolding-Aided Gaussian Belief Propagation for Correlated Large MIMO Detection. - Daichi Shirase; Takumi Takahashi; Shinsuke Ibi; Kazushi Muraoka; Naoto Ishii; Seiichi Sampei (GLOBECOM, 2020)

Negentropy-Aware Loss Function for Trainable Belief Propagation in Coded MIMO Detection. - Daichi Shirase; Takumi Takahashi; Shinsuke Ibi; Kazushi Muraoka; Naoto Ishii; Seiichi Sampei (GLOBECOM, 2021)

Low-Complexity Large MIMO Detection Based on Beam-Domain Local LMMSE Filters. - Takumi Yoshida; Daichi Shirase; Takumi Takahashi; Shinsuke Ibi; Seiichi Sampei (ICC, 2022)

Receive Beamforming for Gaussian Belief Propagation in Massive Multi-user MIMO for Reducing Fronthaul Bandwidth. - Takanobu Doi; Jun Shikida; Kazushi Muraoka; Naoto Ishii; Daichi Shirase; Takumi Takahashi; Shinsuke Ibi (WCNC, 2022)

Receive Beamforming Designed for Massive Multi-User MIMO Detection via Gaussian Belief Propagation. - Takanobu Doi; Jun Shikida; Daichi Shirase; Kazushi Muraoka; Naoto Ishii; Takumi Takahashi; Shinsuke Ibi (IEICE Trans. Commun., 2023)

Integrated Radio Resource and Cluster Allocation for Scalable mmWave Distributed MIMO. - Daichi Shirase; Jun Shikida; Kazushi Muraoka (PIMRC, 2024)

Outer Loop Link Adaptation Based on User Multiplexing for Generalized Approximate Message Passing in Massive MIMO. - Takanobu Doi; Jun Shikida; Daichi Shirase; Kazushi Muraoka; Naoto Ishii; Takumi Takahashi; Shinsuke Ibi (WCNC, 2024)