DocumentCode :
62909
Title :
Joint linear processing design for distributed two-way Amplify-and-Forward MIMO relaying networks
Author :
Fei Zesong ; Luo Chen ; Xing Chengwen ; Kuang Jingming
Author_Institution :
Res. Centre of Digital Commun. Technol. (RCDCT), Beijing Inst. of Technol., Beijing, China
Volume :
10
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
126
Lastpage :
133
Abstract :
Linear transceiver designs are investigated for distributed two-way relaying networks, which aim at minimising the Weighted Mean Square Error (WMSE) of data detections. The forwarding matrices at relays and equalization matrices at destinations are jointly optimised. To overcome the challenging limitations introduced by individual power constraints, a Semi-Definite Relaxation (SDR) called element-wise relaxation is proposed, which can transform the original optimization problem into a standard convex optimization problem. In this research, two-way relaying is understood from a pure signal processing perspective which can potentially simplify the theoretical analysis. Finally, simulation results are used for assessing the performance advantage of the proposed algorithm.
Keywords :
MIMO communication; convex programming; matrix algebra; mean square error methods; radio transceivers; relay networks (telecommunication); signal processing; SDR; WMSE; data detections; distributed two-way amplify-and-forward MIMO relaying networks; element wise relaxation; equalization matrices; forwarding matrices; joint linear processing design; linear transceiver designs; power constraints; semi definite relaxation; signal processing perspective; standard convex optimization problem; weighted mean square error; Estimation; MIMO; Network coding; Optimization; Relays; Signal processing; MIMO; network coding; two-way relaying;
fLanguage :
English
Journal_Title :
Communications, China
Publisher :
ieee
ISSN :
1673-5447
Type :
jour
DOI :
10.1109/CC.2013.6571296
Filename :
6571296
Link To Document :
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