DocumentCode :
1517015
Title :
Two-Way Amplify-and-Forward Relaying with Gaussian Imperfect Channel Estimations
Author :
Ikki, Salama S. ; Aïssa, Sonia
Author_Institution :
Inst. Nat. de la Rech. Sci. (INRS), Univ. of Quebec, Montreal, QC, Canada
Volume :
16
Issue :
7
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
956
Lastpage :
959
Abstract :
In this letter, we study the effect of channel estimation errors on the reception reliability of two-way relaying. For a network with two users that exchange information with each other through multiple amplify-and-forward relays, we investigate a single-relay selection scheme. Since the communication is two-way, the selection scheme aims at optimizing the worse performance of the two communication tasks between the pair of users. The signal-to-noise ratio (SNR) at the users´ nodes of the relaying network is formulated and upper bounded. Then, the probability density function (PDF) of the upper bounded SNRs are determined. Subsequently, expressions for the error probabilities are obtained. Furthermore, an approximate PDF of the output instantaneous SNRs are derived, based on which simple and general asymptotic expressions for the error probabilities are presented and discussed. Numerical and simulation results are provided to verify the analysis and compare the performance of the two-way relaying network for different operating conditions and scenarios.
Keywords :
amplify and forward communication; approximation theory; channel estimation; error statistics; telecommunication network reliability; Gaussian imperfect channel estimations; PDF; approximate PDF; error probabilities; general asymptotic expressions; probability density function; reception reliability; signal-to-noise ratio; single-relay selection scheme; two-way amplify-and-forward relaying; upper bounded SNR; user nodes; Channel estimation; Error probability; Estimation error; Relays; Signal to noise ratio; Two-way relaying; amplify-and-forward; channel estimation; error probability; opportunistic relaying;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2012.050912.120103
Filename :
6200370
Link To Document :
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