• DocumentCode
    2141176
  • Title

    Performance analysis of wireless powered communication with finite/infinite energy storage

  • Author

    Morsi, Rania ; Michalopoulos, Diomidis S. ; Schober, Robert

  • Author_Institution
    Institute of Digital Communications, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    2469
  • Lastpage
    2475
  • Abstract
    In this paper, we consider an energy harvesting (EH) node which harvests energy from a radio frequency (RF) signal broadcasted by an access point (AP) in the downlink (DL). The node stores the harvested energy in an energy buffer and uses the stored energy to transmit data to the AP in the uplink (UL). We consider a simple transmission policy, which accounts for the fact that in practice the EH node may not have knowledge of the EH profile nor of the UL channel state information. In particular, in each time slot, the EH node transmits with either a constant desired power or a lower power if not enough energy is available in its energy buffer. For this simple policy, we use the theory of discrete-time continuous-state Markov chains to analyze the limiting distribution of the stored energy for finite- and infinite-size energy buffers. Moreover, we take into account imperfections of the energy buffer and the circuit power consumption of the EH node. For a Rayleigh fading DL channel, we provide the limiting distribution of the energy buffer content in closed form. In addition, we analyze the average error rate (AER) and the outage probability of a Rayleigh faded UL channel and show that the diversity order is not affected by the finite capacity of the energy buffer. Our results reveal that, except for high outage probabilities and high AERs, the optimal transmit power by the EH node is less than the average harvested power and increases with the capacity of the energy buffer.
  • Keywords
    Approximation methods; Buffer storage; Energy storage; Fading; Limiting; Probability density function; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248695
  • Filename
    7248695