252 citations · 414 across the 21 of their papers we have counts for
5 papers · 1 filter
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach
Chang Liu, Shuangyang Li, Weijie Yuan +2
This paper investigates the orthogonal time frequency space (OTFS) transmission for enabling ultra-reliable low-latency communications (URLLC). To guarantee excellent reliability p…
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…
Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications
Yuanxin Cai, Zhiqiang Wei, Shaokang Hu +3
In this paper, an intelligent reflecting surface (IRS) is introduced to assist an unmanned aerial vehicle (UAV) communication system based on non-orthogonal multiple access (NOMA)…
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…