252 citations · 282 across the 12 of their papers we have counts for
4 papers · 1 filter
Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC
Chang Liu, Shuangyang Li, Weijie Yuan +2
To guarantee excellent reliability performance in ultra-reliable low-latency communications (URLLC), pragmatic precoder design is an effective approach. However, an efficient preco…
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…
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…
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications
Xuemeng Liu, Chang Liu, Yonghui Li +2
Channel estimation is a challenging problem for realizing efficient ambient backscatter communication (AmBC) systems. In this letter, channel estimation in AmBC is modeled as a den…