NDLI: Multiuser interference mitigation with multistage detectors: design and analysis for unequal powers

Content Provider	IEEE Xplore Digital Library
Author	Cottatellucci, L. Muller, R.R.
Copyright Year	2002
Description	Author affiliation: Telecommun. Res. Center Vienna, Austria (Cottatellucci, L.; Muller, R.R.)
Abstract	Asymptotic multistage detectors reach a good compromise between Performance and complexity for large size systems. However, design criteria and performance analysis are available only for additive Gaussian noise channels and equal received power users. We provide equations to precisely calculate the asymptotic weighting of multistage detectors for random CDMA satisfying the individual and joint LMMSE criteria in the projection subspace for scenarios with unequal powers. Additionally, a general expression of the SINR achievable at the filter output as system size grows large is derived. Such equation can be applied to any multistage detector. We specialize this result to both the individual and joint LMMSE multistage detector with asymptotic weighting. We show that the individual LMMSE detector outperforms the joint LMMSE detector in the case of unequal received powers while the detectors are equivalent in the case of equal received powers. Performance degradation of the asymptotic multistage detectors, when used infinite large systems, is negligible compared to the correspondent optimum detectors for finite systems.
Starting Page	1948
Ending Page	1952
File Size	358470
Page Count	5
File Format	PDF
ISBN	0780375769
ISSN	10586393
DOI	10.1109/ACSSC.2002.1197120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Detectors Equations Performance analysis Additive noise Gaussian noise Multiaccess communication Genetic expression Signal to noise ratio Filters
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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