Opportunistic Control Over Shared Wireless Channels

Loading...
Thumbnail Image

Date

2015-12-01

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

205
views
404
downloads

Citation Stats

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.

Department

Description

Provenance

Subjects

Citation

Published Version (Please cite this version)

10.1109/TAC.2015.2416922

Publication Info

Gatsis, K, M Pajic, A Ribeiro and GJ Pappas (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.

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.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.