Wireless Feedback Control with Variable Packet Length for Industrial IoT
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Abstract (arXiv)
The paper considers a wireless networked control system (WNCS), where a controller sends packets carrying control information to an actuator through a wireless channel to control a physical process for industrial-control applications. In most of the existing work on WNCSs, the packet length for transmission is fixed. However, from the channel-encoding theory, if a message is encoded into a longer codeword, its reliability is improved at the expense of longer delay. Both delay and reliability have great impact on the control performance. Such a fundamental delay-reliability tradeoff has rarely been considered in WNCSs. In this paper, we propose a novel WNCS, where the controller adaptively changes the packet length for control based on the current status of the physical process. We formulate a decision-making problem and find the optimal variable-length packet-transmission policy for minimizing the long-term average cost of the WNCSs. We derive a necessary and sufficient condition on the existence of the optimal policy in terms of the transmission reliabilities with different packet lengths and the control system parameter.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 May 2020.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approachcited by 7
- 2023Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidthcited by 1
- 2024Wireless Human-Machine Collaboration in Industry 5.0cited by 0
- 2026Joint Optimization for Federated Learning and Transmission over Unreliable Wireless Networks with Heterogeneous Datacited by 0
- 2026Joint Optimization for Federated Learning and Transmission over Unreliable Wireless Networks with Heterogeneous Data13 Sep 2026
- 2024Wireless Human-Machine Collaboration in Industry 5.018 Oct 2024
- 2023Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth16 Jun 2023
- 2022Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach3 Oct 2022