Channel Capacity Over Generalized Composite Fading Channels

  • Asma Mohamed Almheiri

Student thesis: Master's Thesis


The effective capacity of wireless communication systems is a vital performance metric in both conventional and emerging wireless technologies, which are typically characterized by stringent quality of service requirements. In this context, fading effects that incur during wireless transmission degrade significantly the corresponding performance, including this of effective capacity. This degradation is even more severe when taking into account the simultaneous detrimental effects of multipath fading and shadowing phenomena. To this end, the present dissertation is concerned with the thorough analysis of the effects of generalized composite fading conditions on the effective capacity of single-antenna and multiantenna systems. In more details, novel exact and asymptotic analytic expressions are derived for various communication scenarios encountered in realistic wireless transmission. These expressions are both accurate and tractable, which enables the development of useful insights on the impact of the involved parameters on the overall system performance. In addition, they can be ultimately used in the construction of effective algorithms for optimum and suboptimum system designs, as well as in the exploration of the use of emerging technologies, such as machine learning. The offered results are validated extensively and are compared with respective ergodic capacity results. This provides, among others, useful insights on issues relating to latency, which is a crucial factor in post 5G wireless technologies.
Date of AwardDec 2021
Original languageAmerican English


  • Fading Channels
  • Channel Modeling
  • Composite Fading Channels
  • Generalized Channels.

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