DocumentCode
2895009
Title
Parallel Detection Algorithm with Selective Interference Cancellation for V-BLAST Systems
Author
Xiong, Cong ; Zhang, Xin
Author_Institution
Wireless Theor. & Technol. Lab. (WT&T), Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2009
fDate
14-18 June 2009
Firstpage
1
Lastpage
5
Abstract
Maximum-likelihood detection (MLD) is the optimal scheme for vertical Bell Laboratories layered space-time (V-BLAST) systems. However, due to its exponentially high complexity, many alternative algorithms, including some parallel detection (PD) ones with low complexity and high stability, have been proposed instead for practical applications. Nevertheless, the existing PD algorithms are unable to exploit sufficiently the diversity order increment for low-complexity algorithms via exhaustive interference cancellation (EIC) and the complexity of the sub-detectors is still undesirably high. In this paper, a novel PD algorithm with relative low-complexity sub-detectors, i.e., the selective-interference-cancellation sub-detectors, has been developed. The algorithm is abbreviated as PDSIC algorithm. Numerical analysis indicates that the PDSIC algorithm can achieve the near-optimal performance with much lower complexity in comparison with the existing PD algorithms. Thus, the PDSIC algorithm makes the parallel detection more feasible in practical systems with limited parallel processing elements.
Keywords
diversity reception; interference suppression; maximum likelihood detection; PD algorithm; PDSIC algorithm; V-BLAST systems; diversity order increment; exhaustive interference cancellation; maximum-likelihood detection; parallel detection; parallel detection algorithm; parallel processing; selective interference cancellation; vertical Bell Laboratories layered space-time systems; Communications Society; Detection algorithms; Interference cancellation; MIMO; Numerical analysis; Paper technology; Peer to peer computing; Receiving antennas; Space technology; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location
Dresden
ISSN
1938-1883
Print_ISBN
978-1-4244-3435-0
Electronic_ISBN
1938-1883
Type
conf
DOI
10.1109/ICC.2009.5199300
Filename
5199300
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