DocumentCode :
2375342
Title :
An iterative beamforming optimization algorithm for generalized MIMO Y channels
Author :
Zhou, Zhendong ; Vucetic, Branka
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
4595
Lastpage :
4599
Abstract :
We consider a K-user multiple-input multiple-output (MIMO) relay channel, where each user sends K - 1 independent messages to the other K - 1 users via a common relay. All users and the relay are assumed to have multiple antennas. The communication happens in two time slots, the multiple access (MA) stage and the broadcast (BC) stage. A linear transmit beamforming and receive combining scheme is proposed based on signal subspace alignment and physical layer network coding. The optimization of the beamforming and combining vectors is addressed with an iterative suboptimal algorithm based on orthogonal projection optimization in the signal subspaces. Suboptimal power allocation is also considered to maximize the effective signal-to-noise ratios (SNRs). The bit error rate (BER) performance of the proposed scheme in various channel configurations is verified by simulation, which shows that the proposed scheme produces significant improvement over existing one.
Keywords :
MIMO communication; antenna arrays; array signal processing; channel coding; error statistics; iterative methods; network coding; optimisation; BC stage; BER performance; K-1 independent messages; K-user multiple-input multiple-output relay channel; MIMO relay channel; SNR; bit error rate; broadcast stage; combining vector optimization; generalized MIMO Y channels; iterative beamforming optimization algorithm; iterative suboptimal algorithm; linear transmit beamforming scheme; multiple access stage; multiple antennas; orthogonal projection optimization; physical layer network coding; receive combining scheme; signal subspace alignment; signal subspaces; signal-to-noise ratios; suboptimal power allocation; Array signal processing; MIMO; Optimization; Relays; Resource management; Signal to noise ratio; Vectors;
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.2012.6364263
Filename :
6364263
Link To Document :
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