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 language||English (US)|
|Number of pages||8|
|Journal||International Zurich Seminar on Digital Communications|
|State||Published - Jan 1 2000|
ASJC Scopus subject areas
- Computer Science(all)