DocumentCode
1167313
Title
On the Limitation of Linear MMSE Detection
Author
Varanasi, Mahesh K. ; Mullis, Clifford T. ; Kapur, Ateet
Author_Institution
Dept. of Electr. Eng., Colorado Univ., Boulder, CO
Volume
52
Issue
9
fYear
2006
Firstpage
4282
Lastpage
4286
Abstract
This correspondence highlights the performance limitation of linear minimum mean-squared error (mmse) detection in underdetermined vector Gaussian channels (as in overloaded code-division multiple-access (CDMA) systems) where the number of symbols (users) exceeds the signal space dimension (spread factor). It is shown that for such a simple receiver it is not possible to construct signal sets (or spreading codes) to even satisfy the basic requirement that every user´s symbol error probability decays exponentially as noise power vanishes. This result holds for arbitrary received energies, modulation schemes, and any strictly underdetermined system with a finite signal space dimension and a finite number of users
Keywords
Gaussian channels; code division multiple access; error statistics; least mean squares methods; modulation; signal detection; CDMA; code-division multiple-access; error probability; finite signal space dimension; linear MMSE detection; minimum mean-squared error; modulation scheme; vector Gaussian channel; Digital signal processing; Extrapolation; Finite impulse response filter; Interpolation; Least squares methods; Process control; Rivers; Signal detection; Signal processing; Smoothing methods; Code-division multiple-access (CDMA); Gaussian multiple-access channels; minimum mean square error (mmse) detection; multiuser detection; signal design;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2006.880039
Filename
1683949
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