5 papers
FP-ANeT: A Fixed-Point Attention Network for Hybrid-Field THz Ultra-massive MIMO Channel Estimation
Kangchun Zhao, Haitian Yang, Yijie Mao
Ultra-massive multiple-input multiple-output (UM-MIMO) is a key technology for enabling terahertz (THz) communications in 6G networks, offering high beamforming gain to combat seve…
Individual Channel Estimation for Beyond Diagonal Reconfigurable Intelligent Surfaces
Kangchun Zhao, Yijie Mao
Beyond Diagonal Reconfigurable Intelligent Surfaces (BD-RIS) has emerged as a promising evolution of RIS technology. By enabling interconnections between RIS elements, BD-RIS archi…
Deep Reinforcement Learning-Based Cooperative Rate Splitting for Satellite-to-Underground Communication Networks
Kaiqiang Lin, Kangchun Zhao, Yijie Mao
Reliable downlink communication in satellite-to-underground networks remains challenging due to severe signal attenuation caused by underground soil and refraction in the air-soil…
Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying
Kangchun Zhao, Yijie Mao, Yuanming Shi
In this work, we unveil the advantages of synergizing cooperative rate splitting (CRS) with user relaying and simultaneously transmitting and reflecting reconfigurable intelligent…
Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying
Kangchun Zhao, Yijie Mao, Zhaohui Yang +2
Cooperative rate splitting (CRS), built upon rate splitting multiple access (RSMA) and opportunistic user relaying, has been recognized as a promising transmission strategy to enha…