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Improved Mathematical Models for Fading and Shadowing in Wireless Channels

  • Author / Creator
    Saberali, Seyed Ali
  • Signal shadowing and multipath fading are two challenging phenomena in wireless communications. The goal of this thesis is to improve the statistical models and the mathematical tools required for description and analysis of some specific fading scenarios, namely lognormal shadowing, two-wave with diffuse power fading and diffuse Nakagami-m with line-of-sight fading. For lognormal shadowing, a novel method is proposed to derive approximations to the lognormal characteristic function. For two-wave with diffuse power fading, new expressions are derived for its probability density function, cumulative distribution function and moments. Finally, a novel fading model is introduced which combines a line-of-sight with a Nakagami-m diffuse scatter. The new fading model is justified and expressions are derived for its statistics. The new fading distribution is compared to the Rice, Nakagami-m and two-wave with diffuse power distributions. Application of the results in performance analysis of wireless systems operating in Nakagami-m with line-of-sight fading is investigated.

  • Subjects / Keywords
  • Graduation date
    2013-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R34F1MR27
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Communications
  • Supervisor / co-supervisor and their department(s)
    • Tsui, Ying (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Jing, Yindi (Electrical and Computer Engineering)
    • Schmuland, Byron (Mathematical and Statistical Sciences)
    • Cockburn, Bruce (Electrical and Computer Engineering)