Distributed Channel Access for Control Over Known and Unknown Gilbert-Elliott Channels
成果类型:
Article
署名作者:
Farjam, Tahmoores; Wymeersch, Henk; Charalambous, Themistoklis
署名单位:
Aalto University; Chalmers University of Technology; University of Cyprus
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2023.3279902
发表日期:
2023
页码:
7405-7419
关键词:
Bayesian inference
distributed channel access
Gilbert-Elliott channel
online learning
wireless networked control systems (WNCSs)
摘要:
In this article, we consider the distributed channel access problem for a system consisting of multiple control subsystems that close their loop over a shared wireless network with multiple channels subject to Markovian packet dropouts. Provided that an acknowledgement/ negative-acknowledgement feedback mechanism is in place, we show that this problem can be formulated as a Markov decision process. We then transform this problem to a form that enables distributed control-aware channel access. More specifically, we show that the control objective can be minimized without requiring information exchange between subsystems as long as the channel parameters are known. The objective is attained by adopting a priority-based deterministic channel access method and the stability of the system under the resulting scheme is analyzed. Next, we consider a practical scenario in which the channel parameters are unknown and adopt a learning method based on Bayesian inference, which is compatible with distributed implementation. We propose a heuristic posterior sampling algorithm, which is shown to significantly improve performance via simulations.
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