469 citations · 3.4k across the 163 of their papers we have counts for
169 papers
Efficient Near Maximum-Likelihood Reliability-Based Decoding for Short LDPC Codes
Weiyang Zhang, Chentao Yue, Yonghui Li +1
In this paper, we propose an efficient decoding algorithm for short low-density parity check (LDPC) codes by carefully combining the belief propagation (BP) decoding and order stat…
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
Jiazheng Chen, Wanchun Liu, Daniel Quevedo +2
For cyber-physical systems in the 6G era, semantic communications connecting distributed devices for dynamic control and remote state estimation are required to guarantee applicati…
Structure-Enhanced DRL for Optimal Transmission Scheduling
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo +3
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, we focus on the transmission scheduling pr…
Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization
Shengyu Zhang, Shiyao Zhang, Weijie Yuan +2
Rate-Splitting Multiple Access (RSMA) has recently found favour in the multi-antenna-aided wireless downlink, as a benefit of relaxing the accuracy of Channel State Information at…
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo +2
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, by leveraging the theoretical results of s…
A Scalable Graph Neural Network Decoder for Short Block Codes
Kou Tian, Chentao Yue, Changyang She +2
In this work, we propose a novel decoding algorithm for short block codes based on an edge-weighted graph neural network (EW-GNN). The EW-GNN decoder operates on the Tanner graph w…