469 citations · 3.4k across the 163 of their papers we have counts for
12 papers · 1 filter
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…
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo +2
Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost de…
Ordered-Statistics Decoding with Adaptive Gaussian Elimination Reduction for Short Codes
Chentao Yue, Mahyar Shirvanimoghaddam, Branka Vucetic +1
In this paper, we propose an efficient ordered-statistics decoding (OSD) algorithm with an adaptive Gaussian elimination (GE) reduction technique. The proposed decoder utilizes two…
Efficient Decoders for Short Block Length Codes in 6G URLLC
Chentao Yue, Vera Miloslavskaya, Mahyar Shirvanimoghaddam +2
This paper reviews the potential channel decoding techniques for ultra-reliable low-latency communications (URLLC). URLLC is renowned for its stringent requirements including ultra…
DRL-based Resource Allocation in Remote State Estimation
Gaoyang Pang, Wanchun Liu, Yonghui Li +1
Remote state estimation, where sensors send their measurements of distributed dynamic plants to a remote estimator over shared wireless resources, is essential for mission-critical…
Deep Reinforcement Learning for Radio Resource Allocation in NOMA-based Remote State Estimation
Gaoyang Pang, Wanchun Liu, Yonghui Li +1
Remote state estimation, where many sensors send their measurements of distributed dynamic plants to a remote estimator over shared wireless resources, is essential for mission-cri…
Proximal Policy Optimization-based Transmit Beamforming and Phase-shift Design in an IRS-aided ISAC System for the THz Band
Xiangnan Liu, Haijun Zhang, Keping Long +3
In this paper, an IRS-aided integrated sensing and communications (ISAC) system operating in the terahertz (THz) band is proposed to maximize the system capacity. Transmit beamform…
Stability Conditions for Remote State Estimation of Multiple Systems over Semi-Markov Fading Channels
Wanchun Liu, Daniel E. Quevedo, Branka Vucetic +1
This work studies remote state estimation of multiple linear time-invariant systems over shared wireless time-varying communication channels. We model the channel states by a semi-…
HARQ Optimization for Real-Time Remote Estimation in Wireless Networked Control
Faisal Nadeem, Yonghui Li, Branka Vucetic +1
This paper analyzes wireless network control for remote estimation of linear time-invariant dynamical systems under various Hybrid Automatic Repeat Request (HARQ) packet retransmis…