DocumentCode
579066
Title
Relay and antenna selection in multi-antenna amplify-and-forward (AF) systems with partial channel state information
Author
Danaee, Ahmad ; Maleki, Mehdi ; Kota, John S. ; Bahrami, Hamid Reza
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Akron, Akron, OH, USA
fYear
2012
fDate
10-15 June 2012
Firstpage
4155
Lastpage
4159
Abstract
This paper combines the idea of relay and antenna selection with that of partial channel state information (CSI) based precoding. We consider a non-regenerative two-hop relay network where all the nodes are equipped with multiple antennas. It is assumed that multiple relay nodes are available for cooperation and that the source and each individual relay have the full CSI of the source-relay channel. It is further assumed that each relay knows the spatial correlation matrix of relay-destination channel. The structure of the optimum precoders to minimize a tight lower-bound on the average received minimum mean square error (MMSE) at the source and the relays are then introduced. Using these precoders and based on a computationally efficient proposed method, the best relay and antenna subsets at the source and the relay are then selected to further minimize the MMSE. By simulation, we show that the proposed scheme provides a significant performance gain in terms of the bit error rate (BER).
Keywords
amplify and forward communication; antenna arrays; least mean squares methods; precoding; relays; bit error rate; minimum mean square error; multiantenna amplify-and-forward systems; nonregenerative two-hop relay network; partial channel state information; precoding; relay and antenna selection; Antennas; Bit error rate; Correlation; Covariance matrix; MIMO; Relays; Wireless communication; MIMO; amplify-and-forward; antenna selection; channel state information; precoding; relay selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6364480
Filename
6364480
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