4 papers
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…
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…
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…