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Channel Selection Scheme using Statistical Properties in the Cognitive Radio Networks

인지무선 네트워크에서 통계적 특성을 이용한 채널선택기법

  • 박형근 (한국기술교육대학교 정보기술공학부)
  • Received : 2011.05.12
  • Accepted : 2011.08.29
  • Published : 2011.09.01

Abstract

In a CR (cognitive radio) network, channel selection is one of the important issues for the efficient channel utilization. When the CR user exploits the spectrum of primary network, the interference to the primary network should be minimized. In this paper, we propose a spectrum hole prediction based channel selection scheme to minimize the interference to the primary network. To predict spectrum hole, statistic properties of primary user's traffic is used. By using the predicted spectrum hole, channel is selected and it can reduce the possibility of interference to the primary user and increase the efficiency of spectrum utilization. The performance of proposed channel selection scheme is evaluated by the computer simulation.

Keywords

References

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Cited by

  1. Channel Capacity-Based Multi-Channel Allocation in Cognitive Radio Networks vol.62, pp.12, 2013, https://doi.org/10.5370/KIEE.2013.62.12.1755