Video cognitive radio networks for tactical scenarios

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.