Electrical & Computer Engineering Faculty Publications
Document Type
Article
Publication Date
12-9-2003
Abstract
This paper presents two machine learning based algorithms for CDMA power control. The least squares support vector machine (LS-SVM) algorithms classify eigenvalues estimates into sets of power control commands. A binary LS-SVM algorithm generates fixed step power control (FSPC) commands, while the one vs. one multiclass LS-SVM algorithm generates estimates for fixed set power control.
Publisher
IEEE
Publication Title
Proceedings of the 42nd IEEE Conference on Decision and Control
ISSN
0191-2216
First Page
5097
Last Page
5102
DOI
10.1109/CDC.2003.1272444
Language (ISO)
English
Sponsorship
IEEE
Keywords
Eigenvalues and eigenfunctions, Least squares approximation, Least squares methods
Recommended Citation
Abdallah, Chaouki T.; Judd A. Rohwer; and Christos G. Christodoulou. "Least squares support vector machines for fixed-step and fixed-set CDMA power control." Proceedings of the 42nd IEEE Conference on Decision and Control (2003): 5097-5102. doi:10.1109/CDC.2003.1272444.
