Discrete stochastic approximation algorithms for spreading code adaptation in CDMA systems

Author

Krishnamurthy, Vikram ; Wang, Xiaodong

Author_Institution

Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada

Volume

1

fYear

2002

fDate

3-6 Nov. 2002

Firstpage

843

Abstract

This paper presents discrete stochastic approximation algorithms that adaptively optimize the spreading codes of users in a CDMA system employing linear MMSE receivers. The proposed algorithm has a self-learning capability, i.e., it spends most of the computational effort at the global minimizer of the objective function.

Keywords

adaptive filters; code division multiple access; fading channels; least mean squares methods; multipath channels; optimisation; stochastic processes; time-varying channels; CDMA systems; MMSE; code division multiple access; computational effort; discrete stochastic approximation algorithms; global minimizer; linear receivers; minimum mean square error; self-learning capability; spreading code adaptation; time varying channel conditions; Approximation algorithms; Detectors; Fading; Least squares approximation; Multiaccess communication; Signal processing algorithms; Stochastic processes; Stochastic systems; Transmitters; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7576-9

Type

conf

DOI

10.1109/ACSSC.2002.1197297

Filename

1197297