128 citations · 303 across the 41 of their papers we have counts for
41 papers
Cross-View Vision-Aided Proactive BS Selection and Beam Prediction for mmWave V2I Communications
Zijiao Hu, Haiyao Yu, Gaoyang Pang +6
This paper investigates environmental-sensing-aided proactive base station (BS) selection and beam prediction for millimeter-wave (mmWave) vehicle-to-infrastructure (V2I) wireless…
Semantic Error Correction and Decoding for Short Block Codes
Jiafu Hao, Chentao Yue, Wanchun Liu +2
This paper presents a semantic-enhanced receiver framework for transmitting natural language sentences over noisy wireless channels using multiple short block codes. After ASCII en…
Toward Wireless Human-Machine Collaboration in the 6G Era
Gaoyang Pang, Wanchun Liu, Chentao Yue +4
The next industrial revolution, Industry 5.0, will be driven by advanced technologies that foster human-machine collaboration (HMC). It will leverage human creativity, judgment, an…
Hybrid Centralized Distributed Control for Lifelong MAPF over Wireless Connections
Jinghao Cao, Wanchun Liu, Yonghui Li +1
In lifelong multi-agent path finding (MAPF) with many robots, unreliable wireless links and stochastic executions are the norm. Existing approaches typically either rely on central…
Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach
Jiazheng Chen, Wanchun Liu
Goal-oriented communications prioritize application-driven objectives over data accuracy, enabling intelligent next-generation wireless systems. Efficient scheduling in multi-devic…
Wireless Resource Allocation with Collaborative Distributed and Centralized DRL under Control Channel Attacks
Ke Wang, Wanchun Liu, Teng Joon Lim
In this paper, we consider a wireless resource allocation problem in a cyber-physical system (CPS) where the control channel, carrying resource allocation commands, is subjected to…
Wireless Human-Machine Collaboration in Industry 5.0
Gaoyang Pang, Wanchun Liu, Dusit Niyato +3
Wireless Human-Machine Collaboration (WHMC) represents a critical advancement for Industry 5.0, enabling seamless interaction between humans and machines across geographically dist…
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems
Gaoyang Pang, Wanchun Liu, Dusit Niyato +2
Wireless Networked Control Systems (WNCSs) are essential to Industry 4.0, enabling flexible control in applications, such as drone swarms and autonomous robots. The interdependence…
Remote UGV Control via Practical Wireless Channels: A Model Predictive Control Approach
inghao Cao, Subhan Khan, Wanchun Liu +2
In addressing wireless networked control systems (WNCS) subject to unexpected packet loss and uncertainties, this paper presents a practical Model Predictive Control (MPC) based co…
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…
Splitting Receiver with Multiple Antennas
Yanyan Wang, Wanchun Liu, Xiangyun Zhou
Recently proposed splitting receivers, utilizing both coherently and non-coherently processed signals for detection, have demonstrated remarkable performance gain compared to conve…
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…
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…
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…
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…
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes
Alex S. Leong, Daniel E. Quevedo, Wanchun Liu
In this paper we consider the problem of remote state estimation of a Gauss-Markov process, where a sensor can, at each discrete time instant, transmit on one out of M different co…
Splitting Receiver with Joint Envelope and Coherent Detection
Yanyan Wang, Wanchun Liu, Xiangyun Zhou
This letter proposes a new splitting receiver design with joint envelope detection (ED) and coherent detection (CD). To characterize its fundamental performance limit, we conduct h…
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-…
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Gaoyang Pang, Kang Huang, Daniel E. Quevedo +3
We consider a joint uplink and downlink scheduling problem of a fully distributed wireless networked control system (WNCS) with a limited number of frequency channels. Using elemen…
Over-the-Air Computation via Broadband Channels
Tianrui Qin, Wanchun Liu, Branka Vucetic +1
Over-the-air computation (AirComp) has been recognized as a low-latency solution for wireless sensor data fusion, where multiple sensors send their measurement signals to a receive…
Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
Wanchun Liu, Daniel E. Quevedo, Karl H. Johansson +2
We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We a…
Over-the-Air Computation with Spatial-and-Temporal Correlated Signals
Wanchun Liu, Xin Zang, Branka Vucetic +1
Over-the-air computation (AirComp) leveraging the superposition property of wireless multiple-access channel (MAC), is a promising technique for effective data collection and compu…
Anytime Control under Practical Communication Model
Wanchun Liu, Daniel E. Quevedo, Yonghui Li +1
We investigate a novel anytime control algorithm for wireless networked control with random dropouts. The controller computes sequences of tentative future control commands using t…