DocumentCode :
2436191
Title :
Iterative linear MMSE transmit and receive strategies for cellular MIMO networks
Author :
Bendlin, Ralf ; Huang, Yih-Fang ; Ivrlaç, Michel T. ; Nossek, Josef A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
fYear :
2009
fDate :
1-4 Nov. 2009
Firstpage :
1483
Lastpage :
1487
Abstract :
We present two iterative algorithms that jointly optimize the transmit and receive filters with respect to the mean square error (MSE) in the downlink of a cellular multi-user multiple input single output (MISO) system for linear precoding. One algorithm is gradient-based and allows for cooperation among base stations, the second algorithm does not allow for cooperation between base stations and regards the base stations as competing players in a game. Furthermore, we propose a ¿smart¿ initialization which outperforms all other approaches we analyze without any need for iteration.
Keywords :
MIMO communication; cellular radio; filtering theory; gradient methods; linear codes; mean square error methods; multi-access systems; precoding; MISO system; base station; cellular MIMO network; gradient-based algorithm; iterative algorithm; iterative linear MMSE receive strategy; iterative linear MMSE transmit strategy; linear precoding; mean square error; multiuser multiple input single output system; receive filter; smart initialization; transmit filter; Base stations; Cellular networks; Downlink; Interference; Iterative algorithms; Land mobile radio cellular systems; MIMO; Mean square error methods; Nonlinear filters; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-5825-7
Type :
conf
DOI :
10.1109/ACSSC.2009.5470096
Filename :
5470096
Link To Document :
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