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首页> 外文期刊>Journal of Communications and Information Networks >OAM-Based Hybrid-Duplex Cognitive Frequency Hopping
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OAM-Based Hybrid-Duplex Cognitive Frequency Hopping

机译:基于OAM的混合 - 双工认知跳频跳频

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In cognitive radio networks, the jamming attacks, which have the same ability with secondary users (SUs) but access the licensed channels without considering the carrier sense multiple access protocol, can disguise a primary user (PU) or SU to occupy the licensed channels, thus resulting in failing to access the licensed channels for PUs and SUs. Employing full/half duplex cognitive frequency hopping (CFH), where users sense the occupancy of licensed channels and then dynamically adjust the hopping parameters, can mitigate the hostile jamming. However, due to the explosive growth of serves and data traffic, it is very difficult to significantly increase the anti-jamming results and achieve high capacities with full/half duplex CFH for both PUs and SUs in cognitive radio networks. To achieve efficient anti-jamming and high capacities for PUs and SUs, in this paper we propose the orbital angular momentum (OAM)-based hybrid-duplex CFH scheme, which jointly uses the half-duplex cooperative sensing and full-duplex transmission modes for PUs and SUs in cognitive radio networks. Using the OAM-based hybrid-duplex CFH scheme, PUs and SUs can identify the occupancy of licensed channels with half-duplex fashion, thus significantly reducing the probability of signals jammed. Then, based on the sensing results, the signals are allowed to be transmitted and received by the same time-slots, carrier frequencies, and OAM-modes. The average capacities of PUs and SUs are derived, respectively. Extensively numerical results show that our proposed OAM-based hybrid-duplex CFH scheme can significantly increase the capacities of PUs and SUs in cognitive radio networks under hostile jamming attacks.
机译:在认知无线电网络中,与二级用户(SUS)具有相同的能力,但在不考虑载波侦听多个访问协议的情况下访问许可通道的干扰攻击可以伪装主用户(PU)或SU占用许可频道,因此导致无法访问脓液和SUS的许可渠道。使用全/半双工认知跳频(CFH),用户感知许可通道的占用,然后动态调整跳跃参数,可以减轻敌对的干扰。然而,由于服务和数据流量的爆炸性增长,很难显着增加抗干扰结果,并在认知无线电网络中为PU和SUS提供全/半双工CFH的高容量。为了实现有效的抗干扰和脓液的高容量和SUS,本文提出了基于轨道角动量(OAM)的混合 - 双工CFH方案,该方法共同使用半双工协作感测和全双工传输模式脓液和苏认知无线电网络。使用基于OAM的混合 - 双工CFH方案,PU和SU可以以半双工方式识别许可通道的占用率,从而显着降低了所堵塞信号的概率。然后,基于感测结果,允许信号通过相同的时隙,载波频率和OAM模式发送和接收信号。脓液和SU的平均容量分别衍生出来。广泛的数值结果表明,我们所提出的基于OAM的混合 - 双工CFH方案可以显着提高敌对干扰攻击下认知无线网络中PU和SUS的能力。

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