Secure and green SWIPT in energy harvesting cognitive radio network with robust AN-aided beamforming

Energy harvesting network is a promising new solution to provide energy harvesting and energy sharing capability to traditional network. In practice, the existence of malicious nodes leads to inefficiency of EH networks. In this paper, we studies the robust security beamforming design for energy harvesting cognitive radio network with SWIPT. In particular, the probabilistic CSI error model is utilized to capture the channel uncertainty. The considered robust security beamforming design is formulated as a non-convex optimization problem constrained by security, energy harvesting, energy transfer and tolerable interference. We are aiming at minimizing the total transmit power of cognitive base station. As the intractability of the problem, a one-dimension search algorithm is proposed based on Bernstein-type inequalities to obtain the optimal solution. In addition, the simulations are submitted to illustrate the system performance.