Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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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 (Department of Electronic Engineering, Chungwoon University)
  • Received : 2016.07.21
  • Accepted : 2017.08.23
  • Published : 2017.08.31
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Abstract

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.

본 논문에서는 셀룰러 기반 무선 인지망에서 스펙트럼 인지(CR)기술을 이용하여 모바일 사용자의 핸드오버 호의 손실확률을 줄이는 방법을 제안한다. 제안한 방법에서는 모바일이 방문할 셀을 Ziv-Lempel 알고리듬을 이용하여 예측하고, 방문할 셀에 할당된 채널이 부족할 때는 CR기술에 기초한 스펙트럼 홀 자원을 예측하여 모바일 사용자를 지원한다. 스펙트럼 홀 자원의 크기는 신경망기법으로 예측하며, 예측된 스펙트럼 홀 자원은 핸드오버 호가 초기 발생 호 보다 우선하여 사용할 수 있게 한다. 시뮬레이션을 통하여 셀룰러 이동 통신망에 CR기술을 사용함으로써 모바일 사용자의 핸드오버 호 손실확률을 줄일 수 있음을 보인다.

Keywords

References

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