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Opportunistic Control Over Shared Wireless Channels

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Date
2015-12-01
Authors
Gatsis, K
Pajic, M
Ribeiro, A
Pappas, GJ
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Abstract
© 2015 IEEE.We consider a wireless control architecture with multiple control loops over a shared wireless medium. A scheduler observes the random channel conditions that each control system experiences over the shared medium and opportunistically selects systems to transmit at a set of non-overlapping frequencies. The transmit power of each system also adapts to channel conditions and determines the probability of successfully receiving and closing the loop. We formulate the optimal design of channel-aware scheduling and power allocation that minimize the total power consumption while meeting control performance requirements for all systems. In particular, it is required that for each control system a given Lyapunov function decreases at a specified rate in expectation over the random channel conditions. We develop an offline algorithm to find the optimal communication design, as well as an online protocol which selects scheduling and power variables based on a random observed channel sequence and converges almost surely to the optimal operating point. Simulations illustrate the power savings of our approach compared to other non-channel-aware schemes.
Type
Journal article
Permalink
https://hdl.handle.net/10161/10335
Published Version (Please cite this version)
10.1109/TAC.2015.2416922
Publication Info
Gatsis, K; Pajic, M; Ribeiro, A; & Pappas, GJ (2015). Opportunistic Control Over Shared Wireless Channels. IEEE Transactions on Automatic Control, 60(12). pp. 3140-3155. 10.1109/TAC.2015.2416922. Retrieved from https://hdl.handle.net/10161/10335.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Pajic

Miroslav Pajic

Dickinson Family Associate Professor
Miroslav Pajic's research focuses on design and analysis of cyber-physical systems with varying levels of autonomy and human interaction, at the intersection of (more traditional) areas of embedded systems, AI, learning and controls, formal methods and robotics.
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