DocumentCode :
2430054
Title :
Unified framework and MMSE transceiver designs for multiple-transmitter-multiple-receiver MIMO systems
Author :
Li, Jialing ; Lu, I-Tai ; Lu, Enoch
Author_Institution :
Dept. of Electr. & Comput. Eng., New York Univ., Brooklyn, NY, USA
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
1
Lastpage :
6
Abstract :
A unified framework is proposed for the minimum mean square error (MMSE) transceiver design of general multiple-transmitter-multiple-receiver (MTMR) multiple-input and multiple-output (MIMO) systems subject to general linear power constraints. Two novel approaches, the generalized iterative approach (GIA) and fast iterative approach (FIA), are proposed. The two proposed approaches, along with two convex optimization approaches, the transmit covariance optimization approach (TCOA) and decoder covariance optimization approach (DCOA), are included in the unified framework. The optimality of the approaches and the relationships between the approaches are shown.
Keywords :
MIMO communication; convex programming; covariance analysis; decoding; iterative methods; mean square error methods; transceivers; convex optimization approach; decoder covariance optimization approach; fast iterative approach; generalized iterative approach; linear power constraints; minimum mean square error transceiver design; multiple-input and multiple-output system; multiple-transmitter-multiple-receiver MIMO systems; transmit covariance optimization approach; Bit error rate; Constraint optimization; Covariance matrix; Downlink; Iterative decoding; Iterative methods; MIMO; Mean square error methods; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2010 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-5592-8
Type :
conf
DOI :
10.1109/SARNOF.2010.5469798
Filename :
5469798
Link To Document :
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