DocumentCode :
1354561
Title :
On Optimum Regenerative Relaying With Imperfect Channel Knowledge
Author :
Annavajjala, Ramesh
Author_Institution :
Mitsubishi Electr. Res. Labs. (MERL), Cambridge, MA, USA
Volume :
58
Issue :
3
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
1928
Lastpage :
1934
Abstract :
This correspondence is concerned with the performance of a regenerative relaying protocol on fading wireless channels with imperfect channel knowledge at the receivers. Assuming a single source and a single destination with multiple relay nodes, using binary modulation at the source, we present optimum receiver at the destination on frequency-flat Rayleigh fading channels by taking into account the effects of imperfect channel knowledge at the receivers. Since exact performance analysis of the optimal receiver is complicated due to the non-linear nature of the log-likelihood ratio contribution from the relay, upon using a standard technique in the literature, we present a simple approximate receiver and derive closed-form expression for the average bit error rate (BER) at the destination with a single relay node. We also present a simple analytical technique that allows us to numerically evaluate the average BER for an arbitrary number of relay nodes. Finally, with perfect channel estimation our proposed receiver subsumes the coherent receivers whereas with a minimum mean-square error channel estimation it reduces to the non-coherent receiver in the work of Chen and Laneman (2006).
Keywords :
Rayleigh channels; channel estimation; error statistics; mean square error methods; modulation; protocols; radio receivers; binary modulation; bit error rate; fading wireless channel; frequency-flat Rayleigh fading channel; imperfect channel knowledge; log-likelihood ratio; mean-square error channel estimation; optimum receiver; optimum regenerative relaying protocol; single relay node destination; Cooperative communication; imperfect channel knowledge; log-likelihood ratio; nonlinear receivers; regenerative relaying;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2009.2038416
Filename :
5352352
Link To Document :
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