• Title/Summary/Keyword: Independent Homogeneous Poisson Point Process(IHPPP)

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Channel Selection Using Optimal Channel-Selection Policy in RF Energy Harvesting Cognitive Radio Networks (무선 에너지 하비스팅 인지 무선 네트워크에서 최적의 채널 선택 정책을 이용한 채널 선택)

  • Jung, Jun Hee;Hwang, Yu Min;Cha, Gyeong Hyeon;Kim, Jin Young
    • Journal of Satellite, Information and Communications
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    • v.10 no.3
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    • pp.1-5
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    • 2015
  • Recently, RF energy harvesting technology is a promising technology for small-size IoT(Internet of Things) devices such as sensor to resolve battery scarcity problem. When applied to existing cognitive radio networks, this technology can be expected to increase network throughput through the increase of cognitive user's operating time. This paper proposes a optimal channel-selection policy for RF energy harvesting CR networks model where cognitive users in harvesting zone harvest ambient RF energy from transmission by nearby active primary users and the others in non-harvesting zone choose the channel and communicate with their receiver. We consider that primary users and secondary users are distributed as Poisson point processes and contact with their intended receivers at fixed distances. Finally we can derive the optimal frame duration, transmission power and density of secondary user from the proposed model that can maximize the secondary users's throughput under the given several conditions and suggest future directions of research.

Opportunistic Spectrum Access Using Optimal Control Policy in RF Energy Harvesting Cognitive Radio Networks (무선 에너지 하비스팅 인지 무선 네트워크에서 최적화 제어 정책을 이용한 선택적 스펙트럼 접근)

  • Jung, Jun Hee;Hwang, Yu Min;Cha, Gyeong Hyeon;Kim, Jin Young
    • Journal of Satellite, Information and Communications
    • /
    • v.10 no.3
    • /
    • pp.6-10
    • /
    • 2015
  • RF energy harvesting technology is a promising technology for generating the electrical power from ambient RF signal to operate low-power consumption devices(eg. sensor) in wireless communication networks. This paper, motivated by this and building upon existing CR(Cognitive Radio) network model, proposes a optimal control policy for RF energy harvesting CR networks model where secondary users that have low power consumption harvest ambient RF energy from transmission by nearby active primary users, while periodically sensing and opportunistically accessing the licensed spectrum to the primary user's network. We consider that primary users and secondary users are distributed as Poisson point processes and contact with their intended receivers at fixed distances. Finally we can derive the optimal frame duration, transmission power and density of secondary user from the proposed model that can maximize the secondary users's throughput under the given several conditions and suggest future directions of research.