Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2002 | 10.1109/ICASSP.2002.5744900 | ICASSP |
Keywords | Field | DocType |
lower bound,fading channel,doppler shift,field flow fractionation,artificial neural networks,channel capacity | Topology,Mathematical optimization,Spatial correlation,Telecommunications,Wireless,Fading,Computer science,Upper and lower bounds,Communication channel,Minification,Channel capacity,Channel state information | Conference |
Volume | ISSN | ISBN |
2 | 1520-6149 | 0-7803-7402-9 |
Citations | PageRank | References |
39 | 2.94 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaoli Ma | 1 | 537 | 32.48 |
G. B. Giannakis | 2 | 11464 | 1206.47 |
Shuichi Ohno | 3 | 561 | 55.04 |