DocumentCode
968072
Title
Generalized Parallel Interference Cancellation With Near-Optimal Detection Performance
Author
Luo, Zhendong ; Zhao, Ming ; Liu, Siyang ; Liu, Yuanan
Author_Institution
Bell Labs Res. China, Beijing
Volume
56
Issue
1
fYear
2008
Firstpage
304
Lastpage
312
Abstract
The maximum-likelihood detection (MLD) algorithm is the optimal detection scheme for vertical Bell Laboratories layered space-time (V-BLAST) systems. However, it is generally infeasible to implement the MLD algorithm in practical systems because of its high computational complexity. In this paper, we used two parallel interference cancellation techniques, including precancellation and postcancellation, to simplify the MLD algorithm into a class of computationally efficient suboptimal detection algorithms, herein called the generalized parallel interference cancellation (GPIC) algorithm. Numerical analysis shows that the GPIC algorithm can approximately achieve the MLD performance with considerably low and stable computational complexity. Furthermore, it can be significantly accelerated via parallel processing methods. With near-optimal performance, low and stable complexity, and high running speed, the GPIC algorithm is very suitable for real-time communication systems.
Keywords
computational complexity; interference suppression; maximum likelihood detection; space-time codes; computational complexity; generalized parallel interference cancellation; maximum-likelihood detection algorithm; near-optimal detection performance; parallel processing method; real-time communication system; vertical Bell Laboratories layered space-time systems; Acceleration; Computational complexity; Detection algorithms; Interference cancellation; Iterative algorithms; Iterative decoding; MIMO; Maximum likelihood detection; Parallel processing; Real time systems; Interference cancellation; linear detection; maximum-likelihood detection; multiple-input multiple-output (MIMO) systems; vertical Bell Laboratories layered space–time (V-BLAST);
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2007.906774
Filename
4378413
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