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

Wanchun Liu, Petar Popovski, Yonghui Li, Branka Vucetic

Research output: Contribution to journalJournal articleResearchpeer-review

6 Citations (Scopus)
7 Downloads (Pure)


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.

Original languageEnglish
Article number8922618
JournalIEEE Internet of Things Journal
Issue number3
Pages (from-to)1788-1801
Number of pages14
Publication statusPublished - Mar 2020


  • Analog transmission
  • coding-free transmission
  • low-latency communication
  • optimal power allocation
  • wireless networked control system (WNCS)

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