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Performance Enhancement for Multihop Cognitive DF and AF Relaying Protocols under Joint Impact of Interference and Hardware Noises: NOMA for Primary Network and Best-Path Selection for Secondary Network

机译:多跳认知DF和AF中继协议的性能增强在干扰和硬件噪声的联合影响下:用于初级网络的NOMA和辅助网络的最佳路径选择

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In this paper, we propose and evaluate performance of multihop multipath underlay cognitive radio networks. In a primary network, an uplink nonorthogonal multiple access method is employed to allow primary transmitters to simultaneously transmit their data to a primary receiver. Using an underlay spectrum-sharing method, secondary source and secondary relays must adjust their transmit power to guarantee quality of service of the primary network. Under the limited transmit power, cochannel interference from the primary transmitters, and hardware noises caused by impairments, we propose best-path selection methods to improve the end-to-end performance for the secondary network. Moreover, both multihop decode-and-forward and amplify-and-forward relaying protocols are considered in this paper. We derive expressions of outage probability for the primary and secondary networks and propose an efficient method to calculate the transmit power of the secondary transmitters. Then, computer simulations employing the Monte-Carlo approach are realized to validate the derivations.
机译:在本文中,我们提出并评估了多跳多径底层认知无线电网络的性能。在主网络中,采用上行链路非正交多址方法来允许主发射机同时将其数据发送到主接收器。使用界面频谱共享方法,辅助源和辅助继电器必须调整其发射功率以保证主网络的服务质量。在有限的发射功率下,来自主发射机的Cochannel干扰,以及由损伤引起的硬件噪声,我们提出了最佳路径选择方法,以提高二级网络的端到端性能。此外,本文考虑了多轴解码和前进和扩增和转发中继协议。我们推出了主和二级网络的中断概率的表达,并提出了一种有效的方法来计算二次发射机的发射功率。然后,实现了使用Monte-Carlo方法的计算机模拟以验证派生。

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