A Channel Management Technique using Neural Networks in Wireless Networks

신경망을 이용한 무선망에서의 채널 관리 기법

  • 노철우 (신라대학교 컴퓨터 정보공학부) ;
  • 김경민 (신라대학교 컴퓨터 정보공학부) ;
  • 이광의 (동의대학교 멀티미디어공학과)
  • Published : 2006.06.01


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.


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