Linear complexity multiuser detector using joint successive interference cancellation

Ananya Sen Gupta, Andrew C. Singer

Research output: Contribution to journalConference article

Abstract

We present a linear complexity multiuser detector that employs a joint successive interference cancellation (SIC) technique to achieve better performance than the standard SIC detector. The key feature of Joint Successive Interference Cancellation (JSIC) is that it considers two users jointly at each stage of successive decoding. For the two-user case, the JSIC detector gives the maximum likelihood (ML) solution. Simulations also show that for higher number of users, JSIC gives consistently better performance than the standard SIC detector, both in terms of error probability of a given user and the joint error probability for K users.

Original languageEnglish (US)
Pages (from-to)157-161
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Dec 1 2003
EventConference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 9 2003Nov 12 2003

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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