| 摘要: |
| 为了提高智能反射面网络传输安全性和能效，提出了一种面向安全通信的智能反射面网络能效最大资源分配算法。针对多输入单输出的智能反射面辅助蜂窝通信系统，考虑用户的安全速率约束、基站的最大发射功率约束以及连续相移约束，建立了非线性、多变量耦合的能效最大化资源分配模型。利用Dinkelbach方法将目标函数转化为辅助变量相减的形式，采用交替迭代算法求解原变量耦合的非凸优化问题。仿真结果表明，所提算法与传统算法对比，能效提升了8.3%，中断概率下降了77%。 |
| 关键词: 智能反射面 安全通信 能效最大化 资源分配算法 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(61601071)；重庆市自然科学基金重点资助项目(CSTCCXLJRC201908)；重庆市教委科学技术研究计划项目(KJQN201800606)；陕西省信息通信网络及安全重点实验室开放课题(ICNS201904) |
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| An Energy-efficient Optimization Algorithm for Secure-based Intelligent Reflecting Surface Networks |
| LIU Qilie,YANG Jianhong,XU Yongjun,LU Guangyue |
| (1.School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;2.Shanxi Key Laboratory of Information Communication Network and Security,Xi′an University of Posts and Telecommunications,Xi′an 710121,China) |
| Abstract: |
| In order to improve the transmission security and energy efficiency(EE) of intelligent reflecting surface(IRS) networks,an energy-efficient maximization-based resource allocation algorithm is proposed in a secure-communication based IRS network.For a multi-input single-output IRS assisted cellular communication system,a nonlinear and multivariable coupling energy efficiency maximization resource allocation model is established with the consideration of the minimum secure rate constraint of user,the maximum transmit power constraint of base station(BS),and continue phase shift constraint.Then,the objective function is transformed into the form of subtractive auxiliary variables by using Dinkelbach’s approach,where the non-convex optimization problem of original variable coupling is solved by using an alternative iteration method.Simulation results demonstrate the EE has improved 8.3 percent and the outage probability has declined 77 percent compared with those of the traditional algorithm. |
| Key words: intelligent reflecting surface security communication energy-efficient maximization resource allocation algorithm |
