• DocumentCode
    640224
  • Title

    Channel probing in communication systems: Myopic policies are not always optimal

  • Author

    Johnston, Michael ; Modiano, Eytan ; Keslassy, Isaac

  • Author_Institution
    Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    1934
  • Lastpage
    1938
  • Abstract
    We consider a multi-channel communication system in which a transmitter has access to a large number of channels, but does not know the state of these channels. We model channel state using an ON/OFF Markovian model, and allow the transmitter to probe one of the channels at predetermined probing intervals to decide over which channel to transmit. For models in which the transmitter must send over the probed channel, it has been shown that a myopic policy that probes the channel most likely to be ON is optimal. In this work, we allow the transmitter to select a channel over which to transmit that is not necessarily the one it probed. We show that the myopic policy is not optimal, and propose a simple alternative probing policy, which achieves a higher per-slot expected throughput. Finally, we consider the case where there is a fixed cost associated with probing and derive optimal probing intervals.
  • Keywords
    Markov processes; radio transmitters; wireless channels; channel probing; channel state; communication systems; multichannel communication system; myopic policies; on/off Markovian model; optimal probing intervals; predetermined probing intervals; probed channel; transmitter; Probes; Round robin; Throughput; Transmitters; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620563
  • Filename
    6620563