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A Channel Management Technique using Neural Networks in Wireless Networks  

Ro Cheul-Woo (신라대학교 컴퓨터 정보공학부)
Kim Kyung-Min (신라대학교 컴퓨터 정보공학부)
Lee Kwang-Eui (동의대학교 멀티미디어공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.6, 2006 , pp. 1032-1037 More about this Journal
Abstract
The channel is one of the precious and limited resources in wireless networks. There are many researches on the channel management. Recently, the optimization problem of guard channels has been an important issue. In this paper, we propose an intelligent channel management technique based on the neural networks. An SRN channel allocation model is developed to generate the learning data for the neural networks and the performance analysis of system. In the proposed technique, the neural network is trained to generate optimal guard channel number g, using backpropagation supervised learning algorithm. The optimal g is computed using the neural network and compared to the g computed by the SRM model. The numerical results show that the difference between the value of 8 by backpropagation and that value by SRM model is ignorable.
Keywords
Stochastic Reward Nets;
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