Joint Probabilistic Scheduling and Resource Allocation for Wireless Networked Control Systems

This work presents a joint probabilistic scheduling and resource allocation method (PSRA) for 5G-based wireless networked control systems (WNCSs). As a control-aware optimization method, PSRA minimizes the LQG control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and downlink phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.