Abstract

A multi-user detector with scalable complexity that achieves the maximum likelihood (ML) solution for two users and gives good sub-optimal performance for a higher number of users is proposed. The key idea is to construct a look-up table based on the geometric structure of the signal constellation, and then perform fast decoding based on the lookup table. The proposed detector is near-far resistant and its performance is consistently better than existing sub-optimal detectors when the number of users is greater than the number of dimensions. The robustness of the detector against noise can be controlled at the expense of higher complexity.

Original languageEnglish (US)
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - Sep 27 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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