3 citations · 6 across the 15 of their papers we have counts for
6 papers · 1 filter
Joint BS-RIS-User Association and Beamforming Design for RIS-assisted Cellular Networks
Sifan Liu, Rang Liu, Ming Li +2
Reconfigurable intelligent surface (RIS) is a revolutionary technology for sixth-generation (6G) networks owing to its ability to manipulate wireless environments. As a frequency-s…
Low-Complexity Designs of Symbol-Level Precoding for MU-MISO Systems
Zichao Xiao, Rang Liu, Ming Li +2
Symbol-level precoding (SLP), which converts the harmful multi-user interference (MUI) into beneficial signals, can significantly improve symbol-error-rate (SER) performance in mul…
Deep Reinforcement Learning based Joint Active and Passive Beamforming Design for RIS-Assisted MISO Systems
Yuqian Zhu, Zhu Bo, Ming Li +4
Owing to the unique advantages of low cost and controllability, reconfigurable intelligent surface (RIS) is a promising candidate to address the blockage issue in millimeter wave (…
DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks
Yuqian Zhu, Ming Li, Yang Liu +3
Reconfigurable intelligent surface (RIS) is considered as an extraordinarily promising technology to solve the blockage problem of millimeter wave (mmWave) communications owing to…
Channel Estimation with Reconfigurable Intelligent Surfaces -- A General Framework
A. Lee Swindlehurst, Gui Zhou, Rang Liu +2
Optimally extracting the advantages available from reconfigurable intelligent surfaces (RISs) in wireless communications systems requires estimation of the channels to and from the…
Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO Systems
Zhu Bo, Rang Liu, Ming Li +1
The recently emerged symbol-level precoding (SLP) technique has been regarded as a promising solution in multi-user wireless communication systems, since it can convert harmful mul…