DocumentCode :
1685079
Title :
Enhanced Soft Interference Cancellation Algorithm for V-BLAST Systems
Author :
Luo, Zhendong ; Yang, Fan
Author_Institution :
Inst. of Commun. Stand. Res., China Acad. of Telecommun. Res. of MII, Beijing
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we investigate soft interference cancellation algorithms for vertical Bell Laboratories layered space- time (V-BLAST) systems. By using Gaussian-forcing technique and fast matrix computation, we first derive a simplified version of the conventional generalized probabilistic data association (GPDA) algorithm, called the fast soft interference cancellation (FSIC) algorithm, whose complexity is only cubic in the number of transmit/receive antennas. Then, based on the FSIC algorithm, we develop an enhanced soft interference cancellation (ESIC) algorithm by making use of the properties of MIMO channels. It is shown that with efficient iterative processing, the ESIC algorithm can achieve near-optimal performance in both uncoded systems and coded systems.
Keywords :
Gaussian processes; MIMO communication; interference suppression; iterative methods; matrix algebra; receiving antennas; transmitting antennas; Gaussian-forcing technique; MIMO channels; V-BLAST systems; enhanced soft interference cancellation algorithm; fast matrix computation; fast soft interference cancellation algorithm; generalized probabilistic data association algorithm; iterative processing; soft interference cancellation algorithms; transmit/receive antennas; uncoded systems; vertical Bell Laboratories layered space- time systems; Detection algorithms; Detectors; Gaussian processes; Interference cancellation; Iterative algorithms; Iterative decoding; MIMO; Receiving antennas; Silicon carbide; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
ISSN :
1930-529X
Print_ISBN :
978-1-4244-2324-8
Type :
conf
DOI :
10.1109/GLOCOM.2008.ECP.786
Filename :
4698561
Link To Document :
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