• DocumentCode
    1286314
  • Title

    Probing Capacity

  • Author

    Asnani, Himanshu ; Permuter, Haim ; Weissman, Tsachy

  • Author_Institution
    Electr. Eng. Dept., Stanford Univ., Stanford, CA, USA
  • Volume
    57
  • Issue
    11
  • fYear
    2011
  • Firstpage
    7317
  • Lastpage
    7332
  • Abstract
    We consider the problem of optimal probing of states of a channel by transmitter and receiver for maximizing rate of reliable communication. The channel is discrete memoryless (DMC) with i.i.d. states. The encoder takes probing actions dependent on the message. It then uses the state information obtained from probing causally or noncausally to generate channel input symbols. The decoder may also take channel probing actions as a function of the observed channel output and use the channel state information thus acquired, along with the channel output, to estimate the message. We refer to the maximum achievable rate for reliable communication for such systems as the “Probing Capacity”. We characterize this capacity when the encoder and decoder actions are cost constrained. To motivate the problem, we begin by characterizing the trade-off between the capacity and fraction of channel states the encoder is allowed to observe, while the decoder is aware of channel states. In this setting of `to observe or not to observe´ state at the encoder, we compute certain numerical examples which exhibit a pleasing phenomenon, where encoder can observe a relatively small fraction of states and yet communicate at maximum rate, i.e., rate when observing states at encoder is not cost constrained.
  • Keywords
    channel capacity; channel coding; decoding; memoryless systems; telecommunication network reliability; DMC; channel input symbol generation; channel probing action; channel state information; decoder; discrete memoryless channel; encoder; maximizing rate receiver; maximizing rate transmitter; maximum achievable rate; message estimation; observed channel output; optimal probing problem; reliable communication; Channel coding; Channel state information; Computers; Decoding; Actions; Gel´fand-Pinsker channel; Shannon channel; channel with states; cost constraints; probing capacity;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2162089
  • Filename
    5967910