Title :
Multiuser detection in mismatched multiple-access channels
Author :
Gray, Steven D. ; Kocic, Marko ; Brady, David
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fDate :
12/1/1995 12:00:00 AM
Abstract :
We consider an additive white Gaussian noise multiple-access channel and investigate the performance degradation of several multiuser detectors due to imperfect knowledge of the channel parameters, induced by either estimation errors or sampling/quantization of the receiver´s sufficient statistics. The symbol error rates and the asymptotic multiuser efficiencies (AMEs) of these detectors are examined as functions of both true and approximated channel parameters for 2 asynchronous users. The results quantify the loss of near-far resistance due to parameter estimation errors and demonstrate that detectors which are optimal for ideal conditions are often more sensitive to parameter mismatch. Examples are given which illustrate a reverse ordering of the symbol error rates for these detectors in the high signal-to-noise regime, and also illustrate cases when the conventional matched filter detector exhibits superior performance over multiuser detectors
Keywords :
Gaussian channels; approximation theory; error statistics; maximum likelihood detection; multi-access systems; parameter estimation; quantisation (signal); signal sampling; additive white Gaussian noise channel; approximated channel parameters; asymptotic multiuser efficiencies; asynchronous users; channel parameters; estimation errors; high signal-to-noise; imperfect knowledge; matched filter detector; maximum likelihood sequence detector; mismatched multiple-access channels; multiuser detection; multiuser detectors; near-far resistance loss; parameter estimation errors; parameter mismatch; performance; quantization; reverse ordering; sampling; sufficient statistics; symbol error rates; Additive white noise; Degradation; Detectors; Error analysis; Estimation error; Matched filters; Multiuser detection; Parameter estimation; Quantization; Sampling methods;
Journal_Title :
Communications, IEEE Transactions on