• Title/Summary/Keyword: Neural net spectrum hole prediction

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Channel Allocation Using Mobile Mobility and Neural Net Spectrum Hole Prediction in Cellular-Based Wireless Cognitive Radio Networks (셀룰러 기반 무선 인지망에서 모바일 이동성과 신경망 스펙트럼 홀 예측에 의한 채널할당)

  • Lee, Jin-yi
    • Journal of Advanced Navigation Technology
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    • v.21 no.4
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    • pp.347-352
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    • 2017
  • In this paper, we propose a method that reduces mobile user's handover call dropping probability by using cognitive radio technology(CR) in cellular - based wireless cognitive radio networks. The proposed method predicts a cell to visit by Ziv-Lempel algorithm, and then supports mobile user with prediction of spectrum holes based on CR technology when allocated channels are short in the cell. We make neural network predict spectrum hole resources, and make handover calls use the resources before initial calls. Simulation results show CR technology has the capability to reduce mobile user handover call dropping probability in cellular mobile communication networks.