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On the achievable rate in a D2D cognitive secondary network under jamming attacks

机译:关于D2D认知二级网络在干扰攻击下可达到的速率

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Ongoing developments of the LTE standard will allow for device-to-device (D2D) communications, which will enable direct connection of user equipments (UEs). Since UEs are becoming increasingly more powerful both in computational power and in the role they have in the network, a concrete threat is that a hand-held D2D-enabled device could be deployed to jam intentionally ongoing transmissions of other D2D users. In this context, a natural concern for operators will be the resilience of the legitimate user (LU) against a jammer's (J) attack. In this work, we model an LTE D2D system made of a pair of LUs and a J that tries to impair their communication. We model the adversarial scenario between the transmitting LU and J as a zero-sum game: in this game, J's target is to minimize the throughput of the legitimate D2D pair. We show the achievable channel rate of the D2D pair under jamming attacks and the existence of a Nash equilibrium. Finally, when both players learn each other strategy over time, e.g., employing fictitious play, such equilibrium becomes the system's operating point.
机译:LTE标准的持续发展将允许设备到设备(D2D)通信,这将实现用户设备(UE)的直接连接。由于UE在计算能力和它们在网络中的作用上都变得越来越强大,因此一个具体的威胁是,可以部署手持D2D功能的设备来故意阻止其他D2D用户正在进行的传输。在这种情况下,运营商自然会担心合法用户(LU)抵御干扰(J)攻击的能力。在这项工作中,我们对由一对LU和一个J组成的LTE D2D系统建模,J试图削弱它们的通信。我们将传输LU和J之间的对抗情况建模为零和游戏:在此游戏中,J的目标是最大程度地减少合法D2D对的吞吐量。我们显示了D2D对在干扰攻击下可实现的信道速率以及纳什均衡的存在。最终,当两个参与者随着时间的推移彼此学习策略时,例如采用虚拟游戏,这种平衡就成为系统的工作点。

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