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