research
∙
04/21/2023
Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC
To guarantee excellent reliability performance in ultra-reliable low-lat...
share
research
∙
12/28/2022
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach
This paper investigates the orthogonal time frequency space (OTFS) trans...
research
∙
11/23/2022
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach
Beamforming design for intelligent reflecting surface (IRS)-assisted mul...
research
∙
09/26/2022
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks
Predictive beamforming design is an essential task in realizing high-mob...
research
∙
02/08/2022
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach
The implementation of integrated sensing and communication (ISAC) highly...
research
∙
04/26/2021
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications
The realization of practical intelligent reflecting surface (IRS)-assist...
research
∙
12/01/2020
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems
Channel estimation is of great importance in realizing practical intelli...
research
∙
11/10/2020
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications
Existing tag signal detection algorithms inevitably suffer from a high b...
research
∙
09/16/2020
Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach
Unmanned aerial vehicle (UAV)-assisted communication becomes a promising...
research
∙
09/16/2020