Title :
Optimal training for block transmissions over doubly-selective fading channels
Author :
Ma, Xiaoli ; Giannakis, Georgios B. ; Ohno, Shuichi
Author_Institution :
Dept. of ECE, University of Minnesota, Minneapolis, 55455, USA
Abstract :
High data rates give rise to frequency-selective propagation, while carrier frequency-offsets and mobility-induced Doppler shifts introduce time-selectivity in wireless links. To mitigate the resulting time- and frequency-selective (or doubly-selective) channels, an optimal training strategy is designed in this paper for block transmissions over doubly-selective channels, relying on a basis expansion channel model. The optimality in designing our PSAM parameters consists of maximizing a tight lower bound on the average channel capacity, that is also shown to be equivalent to the minimization of the minimum mean-square channel estimation error. Numerical results corroborate our theoretical designs.
Keywords :
Artificial neural networks; Channel capacity; Field-flow fractionation; Training;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5744900