NDLI: Blind identification of out-of-cell users in DS-CDMA: An algebraic approach

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Blind identification of out-of-cell users in DS-CDMA: An algebraic approach

Content Provider	IEEE Xplore Digital Library
Author	Jiang, Tao Sidiropoulos, Nicholas D.
Copyright Year	2002
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, 55455, USA (Jiang, Tao; Sidiropoulos, Nicholas D.)
Abstract	In the context of multiuser detection for the DS-CDMA uplink, out-of-cell interference is usually treated as Gaussian noise, possibly mitigated by overlaying a long random cell code on top of symbol spreading. Different cells use statistically independent long codes, thereby providing means for statistical out-of-cell interference suppression. When the total number of (in-cell plus out-of-cell) users is less than the spreading gain, subspace identification techniques are applicable. If the base station is equipped with an antenna array, then completely blind identification is possible via three-dimensional low-rank decomposition. This works with more users than spreading and antennas, but a purely algebraic solution is missing. In this paper, we develop an algebraic solution under the premise that the codes of the in-cell users are known. The codes of out-of-cell users and all array steering vectors are unknown. In this pragmatic scenario, we show that in addition to algebraic solution, better identifiability is possible. Our approach yields the best known identifiability result for three-dimensional low-rank decomposition when one of the three component matrices is partially known, albeit non-invertible.
File Size	736144
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.2002.5745089
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Antennas
Content Type	Text
Resource Type	Article

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