NDLI: Performance of Space-Code-Division Multiple-Access Systems Using Reduced-Rank Detection

Content Provider	IEEE Xplore Digital Library
Author	Jiliang Zhang Lie-Liang Yang
Copyright Year	2007
Description	Author affiliation: Sch. of Eng. & Comput. Sci., Southampton Univ. (Jiliang Zhang; Lie-Liang Yang)
Abstract	In this contribution the performance of multiple-input multiple-output space-division, code-division multiple-access (MIMO SCDMA) is investigated, when the low-complexity reduced-rank detection is employed. In L.L. Yang (2006) a MIMO SCDMA system is proposed, aiming at improving the capacity of the existing direct-sequence (DS) CDMA (DS-CDMA) systems. The performance of the SCDMA system in L.L. Yang (2006) is investigated, when the full-rank multiuser detectors (MUDs) are considered. However, since the rank of the detection-related matrices in SCDMA is usually high, the complexity is extremely high, even linear detectors, such as decorrelating, minimum mean-square error (MMSE), etc. are employed. In this paper the reduced-rank detection scheme, which is derived based on the Taylor polynomial approximation (TPA), is proposed for detecting the SCDMA signal. The bit error rate (BER) performance of the MIMO SCDMA is investigated, when communicating over frequency-selective fading channels. It can be shown that the considered reduced-rank detection is capable of achieving a BER performance that is close to that of using full-rank detection, but with significantly lower detection complexity.
Starting Page	1688
Ending Page	1692
File Size	166543
Page Count	5
File Format	PDF
ISBN	1424402662
ISSN	15502252
DOI	10.1109/VETECS.2007.351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-22
Publisher Place	Ireland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiaccess communication MIMO Bit error rate Wireless communication Receiving antennas Transmitting antennas Detectors Decorrelation Polynomials Transmitters
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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