Resource allocation and trajectories design for UAV-assisted jamming cognitive UAV networks

Unmanned aerial vehicle (UAV) communications are subject to the severe spectrum scarcity problem. Cognitive UAV networks are promising to tackle this issue while the confidential information is susceptible to be eavesdropped. A UAV jamming assisted scheme is proposed. A joint resource allocation and trajectories optimization problem is formulated in a UAV-assisted jamming cognitive UAV network subject to diverse power and trajectory constraints. An alternative optimization algorithm is proposed to solve the challenging non-convex joint optimization problem. Extensive simulation results demonstrate the superiority of our proposed scheme and many meaningful insights are obtained for the practical design of cognitive UAV networks.