摘要
针对认知无线电环境中自干扰消除问题,采用在填充式认知无线电通信机制中,次用户收发机通过全双工技术对自身干扰进行能量捕获,并推导出在安全速率、能量收集和发送功率等约束条件下的安全能量效率.利用基于泰勒级数扩展法和拉格朗日对偶分解法的迭代算法,对功率划分因子和传输协方差矩阵进行联合优化,以得到最大化安全能量效率的最优解.仿真结果表明:基于安全能效最大化的方案在低发送功率区域可实现安全能效和安全速率的同时最大化;在高功率区域,该方案在安全能效方面优于基于安全速率最大化的方案.
To tackle the problem that the interference is suppressed or eliminated,an overlay cognitive radio network was proposed, where the secondary transceiver harvested the energy of the interference due to its full-duplex capacity,and the security energy efficiency was derived with the constraints of the secure rate,energy harvesting and transmit power.An iterative algorithm based on the Taylor series expansion and Lagrangian dual decomposition was proposed to jointly optimize the transmit covariance matrix and power splitting ratios,which aimed to maximize the security energy efficiency.From the simulation results,the scheme based on the security energy efficiency maximization can achieve the simultaneous maximization of the security energy efficiency (SEE) and the security rate of the system in low power area.In high power area,the self-interference harvesting algorithm outperforms the scheme based on the secure rate maximization in terms of the security energy efficiency.
作者
鲍慧
李梦辉
赵伟
BAO Hui;LI Menghui;ZHAO Wei(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071000,Hebei China)
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2019年第2期36-40,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61501185)
河北省自然科学基金资助项目(F2016502062)
中央高校基本科研业务费专项资金资助项目(2015MS95)
关键词
填充式认知无线电
全双工
自我干扰
安全能量效率
安全速率
overlay cognitive radio
full-duplex
self-interference
security energy efficiency
security rate