Soft-decision interference cancellation for AWGN multi-user channels

Laurie B. Nelson, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 the performance of comparable hard-decision-based receivers.

Original languageEnglish (US)
Title of host publicationProceedings - 1994 IEEE International Symposium on Information Theory, ISIT 1994
Number of pages1
DOIs
StatePublished - Dec 1 1994
Event1994 IEEE International Symposium on Information Theory, ISIT 1994 - Trondheim, Norway
Duration: Jun 27 1994Jul 1 1994

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Other

Other1994 IEEE International Symposium on Information Theory, ISIT 1994
CountryNorway
CityTrondheim
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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