Control-Aware Wireless Communication Design for Dynamical System Identification

The unprecedented growth of industrial Internet of Things applications requires the evolution of wireless networked control system (WNCS). However, independent designs between communication and control without considering their tight interaction in conventional WNCS lead to poor overall system performance and efficiency. Control-aware communication designs are expected to achieve the required control performance while improving the wireless resource efficiency. In this paper, by considering how to allocate wireless resource for guaranteeing the required data for control systems, a design framework is established based on the finite-time wireless system identification (WSI). To this end, the power and channel allocations are jointly optimized to maximize the communication throughput. The resultant non-convex integer combinatorial problem is iteratively solved by optimizing the power allocation via Lagrangian method and obtaining the optimal channel allocation via Hungarian algorithm. Simulations are conducted to verify the performance.