Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT
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Abstract (arXiv)
Wireless networked control systems for the Industrial Internet of Things (IIoT) require low latency communication techniques that are very reliable and resilient. In this paper, we investigate a coding-free control method to achieve ultra-low latency communications in single-controller-multi-plant networked control systems for both slow and fast fading channels. We formulate a power allocation problem to optimize the sum cost functions of multiple plants, subject to the plant stabilization condition and the controller's power limit. Although the optimization problem is a non-convex one, we derive a closed-form solution, which indicates that the optimal power allocation policy for stabilizing the plants with different channel conditions is reminiscent of the channel-inversion policy. We numerically compare the performance of the proposed coding-free control method and the conventional coding-based control methods in terms of the control performance (i.e., the cost function) of a plant, which shows that the coding-free method is superior in a practical range of SNRs.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jul 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1.
4 papers.
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- 2024Wireless Human-Machine Collaboration in Industry 5.0cited by 0
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- 2022Semantics-Empowered Communication: A Tutorial-cum-Survey16 Dec 2022
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach3 Oct 2022
- 2021BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables7 Sep 2021