Uplink Channel Estimation in WiMAX: Algorithms for PUSC and AMC

WiMAX is an emerging and powerful technology in broadband wireless communications in that it can simultaneously provide high-speed broadband services over large distances. However, signal distortion due to channel fading, noise, and Doppler can limit the overall transmission data rate and coverage. To minimize the impact, channel estimation must be performed to remove the effects of the channel. In this thesis, we present uplink channel estimation algorithms for WiMAX PUSC and AMC and analyze their performance under different channel conditions. Our results show that the performance of each algorithm depends largely on the channel delay spread and signal-to-noise ratio.