2 citations · 2 across the 4 of their papers we have counts for
6 papers
Speeding-up Symbol-Level Precoding Using Separable and Dual Optimizations
Junwen Yang, Ang Li, Xuewen Liao +1
Symbol-level precoding (SLP) manipulates the transmitted signals to accurately exploit the multi-user interference (MUI) in the multi-user downlink. This enables that all the resul…
Low Complexity SLP: An Inversion-Free, Parallelizable ADMM Approach
Junwen Yang, Ang Li, Xuewen Liao +1
We propose a parallel constructive interference (CI)-based symbol-level precoding (SLP) approach for massive connectivity in the downlink of multiuser multiple-input single-output…
Block-Level Interference Exploitation Precoding without Symbol-by-Symbol Optimization
Ang Li, Chao Shen, Xuewen Liao +2
Symbol-level precoding (SLP) based on the concept of constructive interference (CI) is shown to be superior to traditional block-level precoding (BLP), however at the cost of a sym…
Secure Interference Exploitation Precoding in MISO Wiretap Channel: Destructive Region Redefinition with Efficient Solutions
Ye Fan, Xuewen Liao, Ang Li +1
In this paper, we focus on the physical layer security for a K-user multiple-input-single-output (MISO) wiretap channel in the presence of a malicious eavesdropper, where we propos…
Reinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems
Man Chu, Hang Li, Xuewen Liao +1
Energy harvesting (EH) is a promising technique to fulfill the long-term and self-sustainable operations for Internet of things (IoT) systems. In this paper, we study the joint acc…
Interference Alignment with Power Splitting Relays in Multi-User Multi-Relay Networks
Man Chu, Biao He, Xuewen Liao +2
In this paper, we study a multi-user multi-relay interference-channel network, where energy-constrained relays harvest energy from sources' radio frequency (RF) signals and use the…