| This dissertation is concerned with studies on the performance aspects of digital cellular radio systems operating in non-Gaussian multipath fading environments. The multipath fading channel, modeled as a superposition of sinusoidal random vectors, is the main focus of this work. Elementary phase distributions, which cause quadrature components of the composite received vector to be correlated, are studied and relevant envelope distribution for the resulting non-Gaussian quadrature components is investigated. The Student-t distributed random process is chosen to model the quadrature components in an indoor multipath fading channel when the number of sinusoidal random vectors is small. For the correlated bivariate non-Gaussian quadrature components, the exact probability distribution function, corresponding to those elementary phase distributions as well as the Gaussian approximation for resultant envelope are evaluated. The scenario where the elementary envelope is beta distributed is also considered.; Spherically invariant random process (SIRP) is also used to model the multipath fading channel. The performance analysis based on the spherically invariant multipath fading channel, is then evaluated. The system performance, specified in terms of outage probability and average error probability, significantly depends on the choice of characteristic probability distribution function of the random process that describes the RF ambient. It is shown that the optimality of the optimum combining and maximal ratio combining schemes in interference-limited environments is still retained under the spherically invariant multipath fading channel model. |
