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