Improved iterative parallel interference cancellation for coded CDMA systems

Author

Marinkovic, Slavica ; Vucetic, Branka S. ; Evans, Jamie

Author_Institution

Dept. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia

fYear

2001

fDate

2001

Firstpage

34

Abstract

A novel method for interference estimation in the iterative parallel interference canceller is presented. The standard log-likelihood ratio algorithm suffers from a bias problem that limits the system capacity. We propose an improved iterative parallel interference canceller which is able to overcome this problem. In a highly loaded system the correlation between the the decoder inputs in successive iterations is low enough so that a simple combining of the decoder inputs, as if they were independent, yields a high capacity increase

Keywords

code division multiple access; interference suppression; iterative methods; coded CDMA systems; decoder inputs; interference estimation; iterative parallel interference cancellation; log-likelihood ratio algorithm; successive iterations; system capacity; Additive white noise; Convergence; Interference cancellation; Iterative algorithms; Iterative decoding; Iterative methods; Multiaccess communication; Optimization methods; Probability density function; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on

Conference_Location

Washington, DC

Print_ISBN

0-7803-7123-2

Type

conf

DOI

10.1109/ISIT.2001.935897

Filename

935897