DocumentCode :
1850728
Title :
Noncausal Zero-Forcing precoding subject to individual channel power constraints
Author :
Li, Shenpeng ; Zhang, Jingxin ; Chai, Li
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia
fYear :
2012
fDate :
27-31 Aug. 2012
Firstpage :
1623
Lastpage :
1627
Abstract :
This paper investigates Zero Forcing (ZF) precoding in MIMO FB channels subject to individual channel power constraints. It shows that the optimal ZF precoder is non-causal in general and presents a general formulation for the design of optimal noncausal ZF precoder subject to individual channel power constraints. A convex optimization based method is derived from the formulation to design optimal noncausal precoder. Numerical example demonstrates the effectiveness of the design method and the advantage of the designed optimal noncausal ZF precoder.
Keywords :
MIMO communication; codecs; convex programming; telecommunication channels; MIMO FB channels; channel power constraints; convex optimization based method; noncausal zero-forcing precoding; optimal noncausal ZF precoder; Convex functions; Finite impulse response filter; MIMO; Optimization; Signal to noise ratio; Transmitters; Zero-forcing precoding; convex optimization; noncausal systems; oversampled filter banks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6334011
Link To Document :
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