DocumentCode
1989778
Title
A New Linear Precoding Strategy for MIMO BC
Author
Nam, Junyoung ; Ha, Jeongseok ; Ahn, Jae Young
Author_Institution
Mobile Telecommun. Div., Electron. Telecommun. Res. Inst. (ETRI), Daejeon, South Korea
fYear
2010
fDate
6-10 Dec. 2010
Firstpage
1
Lastpage
5
Abstract
The problem of maximizing sum rate of a multiple-antenna Gaussian broadcast channel (BC) with dirty-paper coding (DPC) is well known to be efficiently solved via duality, which transforms this nonconvex problem into a well-structured convex multiple-access channel (MAC) problem. To date, however, finding an optimal transmission strategy when employing linear precoding is still open, since it could not be transformed to a convex problem. In this paper, we introduce some restrictive condition and establish a duality between sum rates of MIMO BC and MIMO MAC with linear precoding under that condition, which converts the nonconvex and untractable problem at hand to a well-structured one like the DPC strategy. By doing so, we can anticipate a computationally efficient optimization algorithm which converges to the global optimum.
Keywords
Gaussian channels; MIMO systems; broadcast channels; concave programming; convex programming; duality (mathematics); multi-access systems; multibeam antennas; precoding; DPC strategy; MIMO BC; MIMO MAC; computationally efficient optimization algorithm; convex multiple-access channel; dirty-paper coding; duality; linear precoding strategy; multiple-antenna Gaussian broadcast channel; nonconvex problem; optimal transmission strategy; Array signal processing; Convergence; Covariance matrix; Encoding; MIMO; Optimization; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location
Miami, FL
ISSN
1930-529X
Print_ISBN
978-1-4244-5636-9
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2010.5683570
Filename
5683570
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