DocumentCode
751600
Title
Linear Precoding for MIMO Channels with Outdated Channel State Information in Multiuser Space-Time Block Coded Systems with Multi-Packet Reception
Author
Au, Edward K S ; Huang, Jane W. ; Lau, Vincent K N
Author_Institution
Electron. & Comput. Eng. Dept., Hong Kong Univ. of Sci. & Technol., Hong Kong
Volume
7
Issue
6
fYear
2008
fDate
6/1/2008 12:00:00 AM
Firstpage
2300
Lastpage
2306
Abstract
We propose a joint set of linear precoder designs for single cell uplink multiuser space-time block coded multiple- input multiple-output systems with multi-packet reception by exploiting outdated channel state information. By deriving the pairwise error probability with respect to both minimum and average codeword distance design metrics, we formulate the design as an optimization problem subject to transmit power constraint for each user. Due to the non-convex nature of the optimization problem, we devise an iterative algorithm to solve for linear precoding structure for general space-time block code. For orthogonal space-time block code, we also propose a simplified distributed algorithm to solve for a closed-form solution. Asymptotic analysis on the effect of quality of the outdated channel state information (CSI) on the precoder structure is also presented. Simulation results are provided to demonstrate the effectiveness of the proposed designs for different space-time block codes at various CSI qualities.
Keywords
MIMO communication; block codes; channel coding; error statistics; iterative methods; linear codes; multiuser channels; orthogonal codes; precoding; space-time codes; MIMO channel; asymptotic analysis; block coded system; channel state information; codeword distance design metrics; distributed algorithm; iterative algorithm; linear precoding; multipacket reception; multiple-input multiple-output system; multiuser space-time code; optimization design; orthogonal code; pairwise error probability; Block codes; Channel state information; Closed-form solution; Constraint optimization; Design optimization; Distributed algorithms; Information analysis; Iterative algorithms; MIMO; Pairwise error probability;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2008.070029
Filename
4543082
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