Uplink Channel Estimation in WiMAX

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.