NDLI: An Adaptive Minimum-BER Approach for Multi-User Detection in STBC-MIMO MC-CDMA Systems

Content Provider	IEEE Xplore Digital Library
Author	D'Orazio, L. Sacchi, C. Fedrizzi, R. De Natale, F.G.B.
Copyright Year	2007
Description	Author affiliation: Univ. of Trento, Trento (D'Orazio, L.; Sacchi, C.; Fedrizzi, R.; De Natale, F.G.B.)
Abstract	In the recent years, MIMO MC-CDMA techniques have been proposed in order to increase system capacity over frequency-selective wireless channels. The key feature of MIMO MC-CDMA is the capability of exploiting diversity jointly in time, frequency and in the space domains. Very promising results have been achieved by STBC-MIMO MC-CDMA using receiver schemes targeted to maximize the signal-to-noise plus interference ratio (SINR) at the output of the diversity combiner. Such a concept turns on the minimum mean squared error (MMSE) combining criterion. Nevertheless, it is known by literature that MSE cost function is not always optimal in digital communications. In this work, we are proposing an adaptive multi-user detection approach based on a minimum-BER (M- BER) concept for a synchronous STBC-MIMO MC-CDMA system transmitting data over time-varying multipath fading channels. The practical implementation of the M-BER receiver relies on an adaptive least-mean-square (LMS)-like algorithm, periodically aided by a training sequence and working in decision-directed modality during a coherence time window. Experimental results have shown a performance improvement yielded by the proposed adaptive M-BER MUD with respect to MMSE adaptive MUD achieved by spending an affordable computational effort.
Starting Page	3427
Ending Page	3431
File Size	255447
Page Count	5
File Format	PDF
ISBN	9781424410422
DOI	10.1109/GLOCOM.2007.650
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiuser detection Multicarrier code division multiple access MIMO Diversity reception Frequency diversity Interference Signal to noise ratio Cost function Digital communication Bit error rate
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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