5 papers
Reduced-Feedback Hybrid Precoding for Wideband mmWave MIMO-OFDM Systems
Po-Heng Chou, Jia-Qing Lin, Wan-Jen Huang +1
In this paper, we propose a feedback-efficient hybrid precoding framework for wideband millimeter-wave (mmWave) multiple-input multiple-output orthogonal frequency-division multipl…
Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSI
Po-Heng Chou, Jiun-Jia Wu, Wan-Jen Huang +1
In this paper, we propose a sustainable long short-term memory (LSTM)-based precoding framework for reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) MIMO…
Capacity-Net-Based RIS Precoding Design without Channel Estimation for mmWave MIMO System
Chun-Yuan Huang, Po-Heng Chou, Wan-Jen Huang +2
In this paper, we propose Capacity-Net, a novel unsupervised learning approach aimed at maximizing the achievable rate in reflecting intelligent surface (RIS)-aided millimeter-wave…
DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shift
Po-Heng Chou, Ching-Wen Chen, Wan-Jen Huang +3
In this paper, the precoding design is investigated for maximizing the throughput of millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems with obstructed direct c…
Green Learning for STAR-RIS mmWave Systems with Implicit CSI
Yu-Hsiang Huang, Po-Heng Chou, Wan-Jen Huang +2
In this paper, a green learning (GL)-based precoding framework is proposed for simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided millim…