MMSE-based linear parallel interference cancellation in long-code CDMA

Dongning Guo*, Lars K. Rasmussen, Teng Joon Lim

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Parallel interference cancellation (PIC) is a promising detection technique for multiuser code-division multiple access (CDMA) systems. It has previously been shown that weighted multistage PIC can be seen as a realization of the steepest descent method for minimizing the mean squared error (MSE). Following this interpretation, a unique set of weights, based on the eigenvalues of the correlation matrix, leads to the minimum achievable MSE for a short-code CDMA system. In this paper, we develop a method for finding a set of fixed weights, minimizing the ensemble average of the MSE over all code-sets. Exact expressions of the ensemble averaged moments of the eigenvalues are derived. Simulation results show that a few stages can be sufficient for near-MMSE performance.

Original languageEnglish (US)
Pages (from-to)31-38
Number of pages8
JournalInternational Zurich Seminar on Digital Communications
StatePublished - Jan 1 2000

ASJC Scopus subject areas

  • Computer Science(all)

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