Soft-decision interference cancellation for AWGN multi-user channels

Laurie B. Nelson, H. Vincent Poor

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

This work applies the EM algorithm and a more powerful generalized EM algorithm for ML estimation to the multi-user detection problem. A key feature of the resulting receivers is that they use conditional-mean estimates of the users' bits to reconstruct and cancel multiple-access interference. These soft-decision estimates inherently account for the users SNRs, thereby allowing for effective use of decisions for weaker users in interference cancellation and improving upon performance of comparable hard-decision-based receivers.

Original languageEnglish (US)
StatePublished - Dec 1 1994
EventProceedings of the 1994 IEEE International Symposium on Information Theory - Trodheim, Norw
Duration: Jun 27 1994Jul 1 1994

Other

OtherProceedings of the 1994 IEEE International Symposium on Information Theory
CityTrodheim, Norw
Period6/27/947/1/94

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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