On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT
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Abstract (arXiv)
Wireless networked control systems (WNCSs) provide a key enabling technique for Industry Internet of Things (IIoT). However, in the literature of WNCSs, most of the research focuses on the control perspective, and has considered oversimplified models of wireless communications which do not capture the key parameters of a practical wireless communication system, such as latency, data rate and reliability. In this paper, we focus on a WNCS, where a controller transmits quantized and encoded control codewords to a remote actuator through a wireless channel, and adopt a detailed model of the wireless communication system, which jointly considers the inter-related communication parameters. We derive the stability region of the WNCS. If and only if the tuple of the communication parameters lies in the region, the average cost function, i.e., a performance metric of the WNCS, is bounded. We further obtain a necessary and sufficient condition under which the stability region is n-bounded, where n is the control codeword blocklength. We also analyze the average cost function of the WNCS. Such analysis is non-trivial because the finite-bit control-signal quantizer introduces a non-linear and discontinuous quantization function which makes the performance analysis very difficult. We derive tight upper and lower bounds on the average cost function in terms of latency, data rate and reliability. Our analytical results provide important insights into the design of the optimal parameters to minimize the average cost within the stability region.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 2.
5 papers.
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approachcited by 7
- 2022A Learning Approach for Joint Design of Event-triggered Control and Power-Efficient Resource Allocationcited by 2
- 2024Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channelscited by 1
- 2021Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoTcited by 0
- 2024Communication-Control Codesign for Large-Scale Wireless Networked Control Systemscited by 0
- 2024Communication-Control Codesign for Large-Scale Wireless Networked Control Systems15 Oct 2024
- 2024Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels22 Apr 2024
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach3 Oct 2022
- 2022A Learning Approach for Joint Design of Event-triggered Control and Power-Efficient Resource Allocation14 May 2022
- 2021Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT30 Jun 2021