6 citations · 29 across the 10 of their papers we have counts for
13 papers
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach
Chang Liu, Xuemeng Liu, Zhiqiang Wei +2
Beamforming design for intelligent reflecting surface (IRS)-assisted multi-user communication (IRS-MUC) systems critically depends on the acquisition of accurate channel state info…
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks
Chang Liu, Xuemeng Liu, Shuangyang Li +2
Predictive beamforming design is an essential task in realizing high-mobility integrated sensing and communication (ISAC), which highly depends on the accuracy of the channel predi…
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach
Chang Liu, Weijie Yuan, Shuangyang Li +3
The implementation of integrated sensing and communication (ISAC) highly depends on the effective beamforming design exploiting accurate instantaneous channel state information (IC…
Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems
Shaokang Hu, Chang Liu, Zhiqiang Wei +3
This paper investigates multiuser multi-input single-output downlink symbiotic radio communication systems assisted by an intelligent reflecting surface (IRS). Different from exist…
A Novel ISAC Transmission Framework based on Spatially-Spread Orthogonal Time Frequency Space Modulation
Shuangyang Li, Weijie Yuan, Chang Liu +4
In this paper, we propose a novel integrated sensing and communication (ISAC) transmission framework based on the spatially-spread orthogonal time frequency space (SS-OTFS) modulat…
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications
Chang Liu, Xuemeng Liu, Zhiqiang Wei +3
The realization of practical intelligent reflecting surface (IRS)-assisted multi-user communication (IRS-MUC) systems critically depends on the proper beamforming design exploiting…