• DocumentCode
    640197
  • Title

    On the capacity of a communication system with energy harvesting and a limited battery

  • Author

    Wei Mao ; Hassibi, Babak

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    1789
  • Lastpage
    1793
  • Abstract
    We consider the problem of determining the capacity of an energy-harvesting transmitter with finite battery communicating over a discrete memoryless channel. When the battery is unlimited, or zero, the capacity has been determined, but it remains unknown for a finite non-zero battery. In this paper we assume that the harvested energy at each time, the total battery storage, and the transmitter signal energy at each time can be quantized to the same unit (i.e., the same energy interval). Under this assumption, we show that the capacity can be described using the Verdú-Han general framework. If we further assume that the transmitted symbol at each time depends only on the energy currently available, and not on the entire past history of energy harvests and symbols transmitted, then we show that the system reduces to a finite state channel (FSC) with the required ergodic and Markov properties so that lower bounds on the capacity can be readily numerically computed. We conjecture that our numerical bounds are tight. Our numerical results indicate that even the minimal possible battery storage can reap a significant fraction of the infinite battery capacity.
  • Keywords
    channel capacity; energy harvesting; radio transmitters; telecommunication power supplies; wireless channels; wireless sensor networks; FSC; Verdú-Han general framework; communication system capacity; discrete memoryless channel; energy harvesting transmitter; finite battery; finite nonzero battery; finite state channel; infinite battery capacity; limited battery; low-power wireless sensor networks; total battery storage; transmitter signal energy; wireless systems; Batteries; Information rates; Markov processes; Power capacitors; Tin; Transmitters; Vectors;
  • 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.2013.6620535
  • Filename
    6620535