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Exact outage probability of dual-hop cooperative cognitive networks with relay selection methods, hardware impairment and MRC receiver

机译:具有中继选择方法,硬件损伤和MRC接收器的双跳合作认知网络的确切中断概率

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In this paper, we evaluate outage probability of dual- hop cooperative cognitive networks under impact of hardware impairment. In particular, we propose two relay selection methods to compensate the performance loss due to the imperfect hardware and the interference constraint at primary network. In the first proposed method, named PRO, the best secondary relay is selected by relying on the channel state information (CSI) of the links between the secondary source and the secondary relays. In the second one, named RE, one of active relays which provides the highest channel gain to the secondary destination is chosen for the cooperation. At the secondary destination, the maximal ratio combining (MRC) technique is used to combine the data received from the source and the selected relay. For performance evaluation and comparison, we drive exact closed- form expressions of outage probability over Rayleigh fading channel, which are verified by Monte Carlo simulations.
机译:在本文中,我们评估了硬件损坏影响下的双跳合作认知网络的中断概率。特别是,我们提出了两种中继选择方法,以补偿由于硬件不完善和主网络的干扰约束而导致的性能损失。在第一个提出的名为PRO的方法中,最佳的辅助中继是通过依赖于辅助源和辅助中继之间链路的信道状态信息(CSI)来选择的。在第二个名为RE的继电器中,选择了向次要目的地提供最高信道增益的有源继电器之一进行协作。在次要目的地,使用最大比率合并(MRC)技术合并从源和选定中继站接收的数据。为了进行性能评估和比较,我们在瑞利衰落信道上驱动中断概率的精确封闭式表达式,这些表达式已通过蒙特卡洛模拟进行了验证。

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