Control-Aware Resource Scheduling Method for Wireless Networked Control Systems

Due to the advantages of low latency, high bandwidth, and reliable connectivity, 5G has been increasingly adopted in industrial control applications. In this article, we consider 5G-based wireless networked control systems (WNCSs) and study resource scheduling methods of 5G networks to support the high-speed control of multiple independent control systems. First, considering the packet dropout problem of WNCSs, we give the optimal state estimator and linear-quadratic-Guassian (LQG) control of the studied WNCS. Second, we analyze the inherent connection between the LQG cost and the transmission reliability of 5G, formulate the resource scheduling problem as an integer programming, and further propose a control-aware resource scheduling (CARS) method to minimize the math expectation of the LQG cost. Finally, the efficiency of the CARS method is demonstrated via extensive simulations.