面向绿色认知无线电网络的物理层安全传输算法研究
Physical layer security transmission algorithm for
  
DOI:
中文关键词:  认识无线电;绿色传输;物理层安全;能量效率
英文关键词:cognitive radio network; green transmission; physical layer security; energy efficiency
基金项目:江苏省自然科学基金(BK20160911)、江苏省高校自然科学研究面上项目(16KJB510027)和南京邮电大学校级科研基金(NY214140,NY215135)资助项目
作者单位
欧阳键 南京邮电大学 通信与信息工程学院,江苏南京210003 
许拔 南京电讯技术研究所,江苏南京210007 
杨科 南京邮电大学 通信与信息工程学院,江苏南京210003 
刘笑语 南京邮电大学 通信与信息工程学院,江苏南京210003 
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中文摘要:
      绿色认知无线电网络因其能同时减轻频谱稀缺问题和提高能量效率,已受到国内外研究者的广泛关注。然而,由于无线传输的广播特性,认知传输存在被恶意用户非法窃听的威胁。针对上述问题,文中以安全能效(SEE)作为认知无线电网络性能的评价指标,提出了安全速率和信号发送功率约束下的安全能效最大化(SEEM)问题。由于该优化问题的非凸性,首先通过引入辅助变量对原问题进行等价转换。其次,采用连续凸近似(SCA)方法将该复杂的非凸优化问题转化为近似凸问题。最后,提出了一种基于SCA的迭代优化求解算法。计算机仿真验证了所提算法的有效性,并定量分析了窃听者数量和认知基站天线数对系统安全能效性能的影响。
英文摘要:
      Green cognitive radio networks have the ability to reduce the spectrum shortage and improve the energy efficiency,thus having been widely concerned by researchers both at home and abroad.However,the broadcast characteristics of wireless transmission results in the cognitive transmission can suffer the eavesdropping threat from the malicious users.Aimed at this problem,the secrecy energy efficiency (SEE) is used as the measure of cognitive radio network and the SEE maximization (SEEM) problem is formulated under the constraints of the secrecy rates of cognitive users and the transmit power of cognitive base station (CBS).Since the considered SEEM problem is non convex,the auxiliary variables are firstly introduced to recast the original problem into an equivalent one,and then the sequential convex approximation (SCA) methods are adopted to transform the complex non convex optimization problem into an approximate convex problem.Finally,an iterative optimization algorithm based on SCA is proposed to achieve the optimal solution.Simulation results are provided to demonstrate the validity of the proposed algorithm.The effects of the eavesdropper number and the antenna number of CBS on SEE performance are quantitatively analyzed.
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