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