Secure Energy Efficiency Maximization in Cognitive Satellite-Terrestrial Networks

This article investigates the secure energy efficiency (EE) optimization problem in a cognitive satellite-terrestrial network with capable eavesdropper. The objective is to maximize EE for primary satellite while satisfying allowable signal-to-interference-plus-noise ratio requirements of secondary and users along within transmit power limitation both terrestrial base station. Owing nonconvexity intractability original problem, beamforming scheme associated transformation algorithms are proposed by jointly applying Taylor approximation, fraction programming, alternating search cope implementation difficulty. key convert into simple convex framework obtain optimal solution step step. Finally, numerical simulations given verify feasibility practicability algorithms.