DocumentCode :
181777
Title :
Transceiver optimization for MIMO multi-relay systems using projected gradient approach
Author :
Toding, A. ; Khandaker, M.R.A. ; Yue Rong
Author_Institution :
Dept. Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
fYear :
2014
fDate :
26-29 Oct. 2014
Firstpage :
635
Lastpage :
639
Abstract :
In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the meansquared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.
Keywords :
MIMO communication; MIMO systems; gradient methods; matrix algebra; signal processing; transceivers; MIMO multirelay systems; MIMO relay communication systems; MSE; beamforming structure; iterative joint source; mean squared error; nonregenerative multiple input multiple output; numerical simulations; optimal relay amplifying matrices; optimal source precoding matrix; parallel relay nodes; projected gradient; relay matrices optimization algorithm; signal waveform estimation; transceiver optimization; Algorithm design and analysis; Covariance matrices; Joints; MIMO; Optimization; Relays; Vectors; MIMO relay; beamforming; non-regenerative relay; parallel relay network; projected gradient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and its Applications (ISITA), 2014 International Symposium on
Conference_Location :
Melbourne, VIC
Type :
conf
Filename :
6979921
Link To Document :
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