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Wireless networked control systems for the Industrial Internet of Things(IIoT) require low latency communication techniques that are very reliable andresilient. In this paper, we investigate a coding-free control method toachieve ultra-low latency communications in single-controller-multi-plantnetworked control systems for both slow and fast fading channels. We formulatea power allocation problem to optimize the sum cost functions of multipleplants, subject to the plant stabilization condition and the controller's powerlimit. Although the optimization problem is a non-convex one, we derive aclosed-form solution, which indicates that the optimal power allocation policyfor stabilizing the plants with different channel conditions is reminiscent ofthe channel-inversion policy. We numerically compare the performance of theproposed coding-free control method and the conventional coding-based controlmethods in terms of the control performance (i.e., the cost function) of aplant, which shows that the coding-free method is superior in a practical rangeof SNRs.

Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT