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Proceedings Paper

Graphical approach to performance analysis of linear multistage interference cancellation in asynchronous CDMA systems
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Paper Abstract

The bit error probability (BEP) of a multistage linear parallel interference canceller (LPIC) is a long-code code division multiple access (CDMA) s ys tem with chip-synchronized asynchronous transmission is analyzed in this work. By assuming the decision statistic to be a Gaussian random variable, the BEP can be obtained by plugging the conditional mean and variance of the decision statistic into the Q function. We formulate the effective correlation matrix D(i) in the asynchronous environment, and show that the conditional mean and the variance of the decision statistic can be expressed as functions of moments of D(i). The computation of moments of D(i) can be divided into two parts. One is the expectation of cosine terms, which can be solved by the method introduced in our previous work of a synchronous system [1]. The ot her is the expectation of cross-correlation terms, which is much more complex than the case in [1]. Besides tools in [1], we develop an evolutionary forest to deal with manipulations of D(i) and show that the computation of the expectation of cross-correlation terms is equivalent to solving a list coloring problem.

Paper Details

Date Published: 12 November 2002
PDF: 12 pages
Proc. SPIE 4869, Emerging Technologies for Future Generation Wireless Communications, (12 November 2002); doi: 10.1117/12.455448
Show Author Affiliations
Chien-Hwa Hwang, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 4869:
Emerging Technologies for Future Generation Wireless Communications
Carl R. Nassar, Editor(s)

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