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.
Networks → Network security Security and privacy → Mobile and wireless security
Zhe Wang Taoshen Li Jin Ye Zhihui Ge Xudong Gao Min Wu
College of Electrical Engineering Guangxi University Nanning China School of Computer,Electronics and Information Guangxi University Nanning China Graduate School of Engineering Tokyo University of Agriculture and Technology Tokyo Japan China Southern Power Grid Co.,Ltd Nanning China
国际会议
2019国图灵大会(ACM Turing Celebration conference-China 2019 )
成都
英文
319-325
2019-05-17（万方平台首次上网日期，不代表论文的发表时间）