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20172022
most citedReinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems

6 citations · 10 across the 7 of their papers we have counts for

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Showing cs.ITShow all

5 papers · 1 filter

cs.IT2022

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…

cs.IT2022★ 2 cited

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…

cs.IT2022

Practical Interference Exploitation Precoding without Symbol-by-Symbol Optimization: A Block-Level Approach

Ang Li, Chao Shen, Xuewen Liao +2

In this paper, we propose a constructive interference (CI)-based block-level precoding (CI-BLP) approach for the downlink of a multi-user multiple-input single-output (MU-MISO) com…

cs.IT2022

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…

cs.IT2017

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…