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

Fuente: arXiv
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Main Authors: Liu, Wanchun, Popovski, Petar, Li, Yonghui, Vucetic, Branka
Format: Preprint
Published: 2019
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author Liu, Wanchun
Popovski, Petar
Li, Yonghui
Vucetic, Branka
author_facet Liu, Wanchun
Popovski, Petar
Li, Yonghui
Vucetic, Branka
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_1907_13297
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT
Liu, Wanchun
Popovski, Petar
Li, Yonghui
Vucetic, Branka
Information Theory
Systems and Control
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.
title Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT
topic Information Theory
Systems and Control
url https://arxiv.org/abs/1907.13297