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Throughput Maximization Based on Optimal Access Probabilities in Cognitive Radio System

机译:认知无线电系统中基于最佳访问概率的吞吐量最大化

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Well-established fact shows that the fixed spectrum allocation policy conveys to the low spectrum utilization. The cognitive radio technique promises to improve the low efficiency. This paper proposes an optimized access strategy combining overlay scheme and underlay scheme for the cognitive radio. We model the service state of the system as a continuous-time Markov model. Based on the service state, the overlay manner or/and the underlay manner is/are used by the secondary users. When the primary user is not transmitting and only one secondary user has the requirement to transmit, the secondary system adopts the overlay scheme. When the primary user is transmitting and the secondary users want to transmit simultaneously, an underlay scheme with an access probability is adopted. We obtain the optimal access probability in a closed form which maximizes the overall system throughput.
机译:公认的事实表明,固定频谱分配策略传达了低频谱利用率。认知无线电技术有望改善低效率。提出了一种结合覆盖方案和底层方案的认知无线电优化访问策略。我们将系统的服务状态建模为连续时间马尔可夫模型。基于服务状态,次级用户使用覆盖方式或/和底层方式。当主要用户不进行传输并且只有一个辅助用户有传输要求时,辅助系统采用覆盖方案。当主要用户正在发送而次要用户希望同时发送时,采用具有访问概率的底层方案。我们以封闭形式获得最佳访问概率,从而最大程度地提高整个系统的吞吐量。

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