• DocumentCode
    3688689
  • Title

    A Statistical Analysis of RF-Energy Harvesting in Wireless Networks

  • Author

    Ala Abu Alkheir;Irfan S. Al-Anbagi;Hussein T. Mouftah

  • Author_Institution
    Sch. of Electr. Eng. &
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The ability of wireless terminals to harvest energy from Radio Frequency (RF) signals is gaining tremendous momentum as a mean to prolong the lifetime of these terminals and to recycle the radiated energy. This article gives a much needed statistical analysis for the amount of harvested energy over a period of time T. By studying the input/output characteristics of a typical harvesting circuit, we show that i) the amount of harvested energy over a period of T seconds, denoted by ψout, is a stochastic process, and ii) that it can be written as a scaled version of the amount of incoming energy, ψin, over the same period of time, i.e., ψout = ε̂ψin, where ε̂ ∈ [0, 1] is the harvesting efficiency. We also unveil the dependence of ψout on the sensitivity of the harvesting circuit which is captured using a Signal to Noise Ratio (SNR) threshold, γth.
  • Keywords
    "Energy harvesting","Radio frequency","Signal to noise ratio","Cognitive radio","Wireless sensor networks","Integrated circuit modeling"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Wireless Broadband (ICUWB), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICUWB.2015.7324412
  • Filename
    7324412