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
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