DocumentCode
2093448
Title
Closed-form designs for source-relay joint precoder in MIMO AF relaying systems with decision feedback receiver
Author
Taehoon Kim ; Changick Song ; Inkyu Lee
Author_Institution
Agency for Defense Dev., Daejeon, South Korea
fYear
2013
fDate
9-13 June 2013
Firstpage
5532
Lastpage
5536
Abstract
In this paper, we provide a new design scheme which jointly optimizes the source and relay precoders in multiple-input multiple-output amplify-and-forward relaying systems with minimum mean-squared error (MMSE) decision feedback equalizer (DFE) at the destination node. Instead of conventional optimal designs which require an iterative method, we propose a simple and near optimal closed-form scheme. First, we extend the decomposable property of the error covariance matrix based on linear MMSE receiver to our case. Next, we suggest a new scheme which jointly finds the source and relay precoders with a closed-form solution. Simulation results demonstrate that the performance of the proposed method is less than 1 dB away from the optimal solution with much reduced complexity.
Keywords
MIMO communication; amplify and forward communication; covariance matrices; equalisers; iterative methods; least mean squares methods; precoding; radio receivers; relay networks (telecommunication); MIMO AF relaying systems; MMSE DFE; closed-form designs; closed-form solution; decision feedback receiver; destination node; error covariance matrix; iterative method; linear MMSE receiver; minimum mean-squared error decision feedback equalizer; multiple-input multiple-output amplify-and-forward relaying systems; optimal closed-form scheme; relay precoders; source precoders; source-relay joint precoder; Covariance matrices; MIMO; Matrix decomposition; Optimization; Receivers; Relays; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2013 IEEE International Conference on
Conference_Location
Budapest
ISSN
1550-3607
Type
conf
DOI
10.1109/ICC.2013.6655472
Filename
6655472
Link To Document