DocumentCode :
113151
Title :
Opportunistic Relay Selection With Limited Feedback
Author :
Eltayeb, Mohammed E. ; Elkhalil, Khalil ; Bahrami, Hamid Reza ; Al-Naffouri, Tareq Y.
Author_Institution :
Wireless Networking & Commun. Group (WNCG), Univ. of Texas at Austin, Austin, TX, USA
Volume :
63
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
2885
Lastpage :
2898
Abstract :
Relay selection is a simple technique that achieves spatial diversity in cooperative relay networks. Generally, relay selection algorithms require channel state information (CSI) feedback from all cooperating relays to make a selection decision. This requirement poses two important challenges, which are often neglected in the literature. Firstly, the fed back channel information is usually corrupted by additive noise. Secondly, CSI feedback generates a great deal of feedback overhead (air-time) that could result in significant performance hits. In this paper, we propose a compressive sensing (CS) based relay selection algorithm that reduces the feedback overhead of relay networks under the assumption of noisy feedback channels. The proposed algorithm exploits CS to first obtain the identity of a set of relays with favorable channel conditions. Following that, the CSI of the identified relays is estimated using least squares estimation without any additional feedback. Both single and multiple relay selection cases are considered. After deriving closed-form expressions for the asymptotic end-to-end SNR at the destination and the feedback load for different relaying protocols, we show that CS-based selection drastically reduces the feedback load and achieves a rate close to that obtained by selection algorithms with dedicated error-free feedback.
Keywords :
compressed sensing; cooperative communication; diversity reception; feedback; least mean squares methods; protocols; relay networks (telecommunication); wireless channels; CSI feedback; additive noise; asymptotic end-to-end SNR; channel state information; compressive sensing; cooperative relay networks; error free feedback; feedback load; feedback overhead reduction; least squares estimation; limited feedback; noisy feedback channels; opportunistic relay selection algorithm; relaying protocol; spatial diversity; Estimation; Feeds; Noise measurement; Protocols; Relays; Signal to noise ratio; Amplify-and-Forward; Compressive Sensing; Decode-and-Forward; Feedback; Full-Duplex; Half-Duplex; Relaying; amplify-and-forward; compressive sensing; decode-and-forward; full-duplex; half-duplex; relaying;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2015.2451629
Filename :
7145411
Link To Document :
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