182 citations · 1k across the 67 of their papers we have counts for
6 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…
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…
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…
A Game-Theoretic Approach to Covert Communications
Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
This paper considers a game-theoretic formulation of the covert communications problem with finite blocklength, where the transmitter (Alice) can randomly vary her transmit power i…
Kalman Filtering With Relays Over Wireless Fading Channels
Alex S. Leong, Daniel E. Quevedo
This note studies the use of relays to improve the performance of Kalman filtering over packet dropping links. Packet reception probabilities are governed by time-varying fading ch…
Power Control and Coding Formulation for State Estimation with Wireless Sensors
Daniel E. Quevedo, Jan Ostergaard, Anders Ahlen
Technological advances have made wireless sensors cheap and reliable enough to be brought into industrial use. A major challenge arises from the fact that wireless channels introdu…