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Least squares support vector machines for fixed-step and fixed-set CDMA power control

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/20266

Least squares support vector machines for fixed-step and fixed-set CDMA power control

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Title: Least squares support vector machines for fixed-step and fixed-set CDMA power control
Author: Abdallah, Chaouki T.; Rohwer, Judd A.; Christodoulou, Christos G.
Subject(s): Eigenvalues and eigenfunctions
Least squares approximation
Least squares methods
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.
Date: 2003-12-09
Publisher: IEEE
Citation: Proceedings of the 42nd IEEE Conference on Decision and Control, 2003, 5: 5097-5102
Description: Digital Object Identifier: 10.1109/CDC.2003.1272444
URI: http://hdl.handle.net/1928/20266
ISSN: 0191-2216

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