Opportunistic control over shared wireless channels
Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George Pappas

Citation
Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro, George Pappas. "Opportunistic control over shared wireless channels". IEEE Transactions on Automatic Control, 2014.

Abstract
We consider a wireless control architecture with multiple control loops and 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 transmitting and closing the loop. We formulate the problem of designing optimal channel-aware scheduling and power allocation mechanisms 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. We illustrate in simulations the power savings of our approach compared to other non-channel-aware schemes.

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Citation formats  
  • HTML
    Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro,
    George Pappas. <a
    href="http://www.terraswarm.org/pubs/318.html"
    >Opportunistic control over shared wireless
    channels</a>, <i>IEEE Transactions on Automatic
    Control</i>,  2014.
  • Plain text
    Konstantinos Gatsis, Miroslav Pajic, Alejandro Ribeiro,
    George Pappas. "Opportunistic control over shared
    wireless channels". <i>IEEE Transactions on
    Automatic Control</i>,  2014.
  • BibTeX
    @article{GatsisPajicRibeiroPappas14_OpportunisticControlOverSharedWirelessChannels,
        author = {Konstantinos Gatsis and Miroslav Pajic and
                  Alejandro Ribeiro and George Pappas},
        title = {Opportunistic control over shared wireless channels},
        journal = {IEEE Transactions on Automatic Control},
        year = {2014},
        abstract = {We consider a wireless control architecture with
                  multiple control loops and 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
                  transmitting and closing the loop. We formulate
                  the problem of designing optimal channel-aware
                  scheduling and power allocation mechanisms 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. We
                  illustrate in simulations the power savings of our
                  approach compared to other non-channel-aware
                  schemes. },
        URL = {http://terraswarm.org/pubs/318.html}
    }
    

Posted by Barb Hoversten on 28 May 2014.
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