Low complexity channel models for approximating flat Rayleigh fading in network simulations

Low Complexity Channel Models for Approximating Flat Rayleigh Fading in Network Simulations. (August 2003) Jeffrey Michael McDougall, B.S., Texas A&M University; M.S., Johns Hopkins University Chair of Advisory Committee: Dr. Scott L. Miller The intricate dependency of networking protocols upon the performance of the wireless channel motivates the investigation of network channel approximations for fading channels. Wireless networking protocols are increasingly being designed and evaluated with the assistance of networking simulators. While evaluating networking protocols such as medium access control, routing, and reliable transport, the network channel model, and its associated capacity, will drastically impact the achievable network throughput. Researcher relying upon simulation results must therefore use extreme caution to ensure the use of similar channel models when performing protocol comparisons. Some channel approximations have been created to mimic the behavior of a fading environment, however there exists little to no justification for these channel approximations. This dissertation addresses the need for a computationally efficient fading channel approximation for use in network simulations. A rigorous flat fading channel model was developed for use in accuracy measurements of channel approximations. The