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Video cognitive radio networks for tactical scenarios

机译:用于战术场景的视频认知无线电网络

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We examine the performance of uplink video transmission over a mobile cognitive radio (CR) system operating in a hostile environment where an intelligent adversary tries to disrupt communications. We investigate the optimal strategy for spoofing, desynchronizing and jamming a cluster-based CR network with a Gaussian noise signal, over a Rayleigh fading channel. The adversary can limit access for secondary users (SUs) by either transmitting a spoofing signal in the sensing interval, or a desynchronizing signal to disrupt code acquisition by SUs or the cluster head. By jamming the network during the transmission interval, the adversary can reduce the rate of successful transmission. We also propose cross-layer resource allocation algorithms and evaluate their performance under disruptive attacks.
机译:我们研究了在敌对环境中试图敌对通信的敌对环境中运行的移动认知无线电(CR)系统上的上行链路视频传输的性能。我们研究了在瑞利衰落信道上对具有高斯噪声信号的基于集群的CR网络进行欺骗,去同步和干扰的最佳策略。攻击者可以通过在检测间隔中发送欺骗信号,或者使用去同步信号来破坏SUs或簇头的代码获取,来限制辅助用户(SU)的访问。通过在传输间隔期间阻塞网络,对手可以降低成功传输的速率。我们还提出了跨层资源分配算法,并评估了其在破坏性攻击下的性能。

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