DocumentCode
166408
Title
An efficient sphere decoding algorithm for rank-deficient OFDM/SDMA systems
Author
Shahnaz, K.V. ; Ali, C.K.
Author_Institution
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Calicut, India
fYear
2014
fDate
24-27 Sept. 2014
Firstpage
2201
Lastpage
2204
Abstract
The design of efficient receivers for orthogonal frequency division multiplexing/space division multiple access (OFDM/SDMA) channels remain a challenging task especially when the number of mobile stations (MSs) transmitting exceed base station (BS) antennas. The benchmark performance is achieved by Maximum Likelihood (ML) detector at the cost of computational complexity that exponentially increases with spatial and temporal dimension. As an alternative to reduce complexity without compromising the performance, this paper discusses a simple and effective Fincke and Pohst Sphere Decoding (FP-SD) algorithm which incorporates a pseudo-antenna augmentation scheme to handle a rank-deficient channel. The work also explains how suitable radius selection affects the performance.
Keywords
OFDM modulation; computational complexity; decoding; maximum likelihood detection; mobile antennas; mobile radio; space division multiple access; wireless channels; Fincke and Pohst Sphere Decoding algorithm; base station antennas; computational complexity; maximum likelihood detector; mobile stations; orthogonal frequency division multiplexing channel; pseudo-antenna augmentation scheme; rank-deficient OFDM-SDMA system; rank-deficient channel; space division multiple access channel; sphere decoding algorithm; Complexity theory; Computer aided software engineering; Detectors; Noise; Search problems; Transmitting antennas; Vectors; Multiuser Detection; OFDM; SDMA; Sphere Decoding; Underdetermined; rank-deficient;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-3078-4
Type
conf
DOI
10.1109/ICACCI.2014.6968573
Filename
6968573
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