A fast online SVM algorithm for variable-step CDMA power control

Authors:
Yu Zhao;Hongsheng Xi;Zilei Wang
Affiliations:
Network Communication System and Control Laboratory (218), Department of Automation, University of Science and Technology of China, Hefei, Anhui, China;Network Communication System and Control Laboratory (218), Department of Automation, University of Science and Technology of China, Hefei, Anhui, China;Network Communication System and Control Laboratory (218), Department of Automation, University of Science and Technology of China, Hefei, Anhui, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Year:
2005

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Abstract

This paper presents a fast online support vector machine (FOSVM) algorithm for variable-step CDMA power control. The FOSVM algorithm distinguishes new added samples and constructs current training sample set using K.K.T. condition in order to reduce the size of training samples. As a result, the training speed is effectively increased. We classify the received signals into two classes with FOSVM algorithm, then according to the output label of FOSVM and the distance from the data points to the SIR decision boundary, variable-step power control command is determined. Simulation results illustrate that the algorithm has a fast training speed and less support vectors. Its convergence performance is better than the fixed-step power control algorithm.