Successive interference annulment for multi-user systems with known non-linearity

Ananya Sen Gupta, Andrew Singer

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

Abstract

The focus of this work is multi-user systems where the combined multi-user signal is passed through a known non-linearity, e.g., a downlink RF power amplifier in satellite communication systems. A successive interference annulment (SIA) multi-user detector for non-linear multi-user systems is proposed and analyzed in terms of the asymptotic behavior of the conditional probability of error at each stage of successive decoding. The design of the SIA detector takes into account the geometry of the overall signal constellation and a particular user's bit is decoded using a single inner product operation. The run-time complexity of the proposed SIA detector is linear in the number of users, though the design complexity is exponential in the number of users. For a linear multi-user system, the SIA detector reduces to a serial interference cancellation (SIC) detector that maximizes the asymptotic conditional multi-user efficiency at each stage of successive decoding. Simulation results indicate that the SIA detector consistently outperforms conventional detection schemes where the non-linearity is ignored.

Original languageEnglish (US)
Title of host publication2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-446
Number of pages5
ISBN (Print)1424403502, 9781424403509
DOIs
StatePublished - 2006
Event2006 40th Annual Conference on Information Sciences and Systems, CISS 2006 - Princeton, NJ, United States
Duration: Mar 22 2006Mar 24 2006

Publication series

Name2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

Other

Other2006 40th Annual Conference on Information Sciences and Systems, CISS 2006
Country/TerritoryUnited States
CityPrinceton, NJ
Period3/22/063/24/06

ASJC Scopus subject areas

  • General Computer Science

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