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Performance Analysis of Wireless Powered Communication Networks with Imperfect CSI and Nonlinear Energy Harvesters

  • Author / Creator
    Wang, Danyang
  • Harvesting energy from radio frequency signals is a promising solution to enhance the energy efficiency of portable wireless devices and/or wireless sensors. Toward this goal, in this thesis, wireless powered communication networks are studied. Such a network consists of a hybrid access point or a power beacon that transfers energy to the user. The user device then transmits data in the uplink by using its harvested energy. Performances of wireless powered communication networks are investigated in detail based on two practical scenarios: imperfect channel state information and nonlinear energy harvesting models. First, average throughput and average bit/symbol error rate are derived for imperfect channel state information case. Second, a new nonlinear energy harvesting model and its asymptotic version are proposed. The linear and rational energy harvesting models are also described for comparative purposes. The average throughput and average bit error rate of four energy harvesting models are investigated.

  • Subjects / Keywords
  • Graduation date
    Fall 2020
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/r3-fhap-8v83
  • License
    Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.