DocumentCode :
2147836
Title :
Simultaneous SDR optimality via a joint matrix decomposition
Author :
Kochman, Yuval ; Khina, Anatoly ; Erez, Uri
Author_Institution :
EECS Dept, MIT, Cambridge, MA, USA
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
3040
Lastpage :
3043
Abstract :
This work considers the joint source-channel problem of transmitting a Gaussian source over a two-user multiple-input multiple-output (MIMO) broadcast channel. We show the existence of non-trivial channels, where the optimal distortion pair (which for high signal-to-noise ratios equals the point-to-point distortions of the individual users) may be achieved. A condition for existence of a joint triangularization of the MIMO channels which shapes the ratio of the diagonals to a desired form is derived. Whenever possible, all diagonal elements but one are made equal. We then employ a hybrid digital-analog scheme to the source, where the digital part is sent over the equal subchannels and the analog refinement is sent over the remaining one.
Keywords :
Gaussian channels; MIMO communication; broadcast channels; distortion; matrix decomposition; wireless channels; Gaussian source transmission; MIMO broadcast channel; analog refinement; hybrid digital-analog scheme; joint matrix decomposition; joint source-channel problem; nontrivial channels; optimal distortion pair; signal-to-distortion ratio; simultaneous SDR optimality; two-user multiple-input multiple-output broadcast channel; Covariance matrix; Decoding; Gain; Joints; MIMO; Matrix decomposition; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946299
Filename :
5946299
Link To Document :
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