TY - JOUR
T1 - Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT
AU - Liu, Wanchun
AU - Popovski, Petar
AU - Li, Yonghui
AU - Vucetic, Branka
PY - 2020/3
Y1 - 2020/3
N2 - Wireless networked control systems for the Industrial Internet of Things (IIoT) require low-latency communication techniques that are very reliable and resilient. In this article, we investigate a coding-free control method to achieve ultralow latency communications in single-controller-multiplant 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 nonconvex 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 signal-to-noise ratios.
AB - Wireless networked control systems for the Industrial Internet of Things (IIoT) require low-latency communication techniques that are very reliable and resilient. In this article, we investigate a coding-free control method to achieve ultralow latency communications in single-controller-multiplant 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 nonconvex 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 signal-to-noise ratios.
KW - Analog transmission
KW - coding-free transmission
KW - low-latency communication
KW - optimal power allocation
KW - wireless networked control system (WNCS)
UR - http://www.scopus.com/inward/record.url?scp=85082134353&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2019.2957433
DO - 10.1109/JIOT.2019.2957433
M3 - Journal article
SN - 2327-4662
VL - 7
SP - 1788
EP - 1801
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 3
M1 - 8922618
ER -