非完美CSI条件下IRS辅助的NOMA系统安全速率最大化算法
Security rate maximization algorithm for IRS assisted NOMA systems under imperfect CSI
王正强 1何鲁娜 1樊自甫 1万晓榆 1徐勇军 1多滨2
作者信息
- 1. 重庆邮电大学通信与信息工程学院,重庆 400065
- 2. 成都理工大学计算机与网络安全学院,成都 610059
- 折叠
摘要
本文针对智能反射面(intelligent reflecting surface,IRS)辅助的非正交多址接入系统的物理层安全问题,考虑窃听信道为非完美信道状态信息,基站在IRS的辅助下给合法用户传输数据.在基站最大发射功率、IRS相移和连续干扰消除解码顺序约束下,建立了 一个联合优化基站波束形成向量、IRS相移的系统安全速率最大化问题.首先,基于合法用户的组合信道增益来确定连续干扰消除解码顺序,然后将优化问题解耦为两个子问题交替优化,利用基于惩罚的连续凸逼近、松弛变量、一阶泰勒展开等方法将目标函数和约束进行转化,再利用S-procedure方法处理窃听信道的不确定性,将子问题转化为凸优化问题并求解.仿真结果表明,本文所提方案与集中部署IRS、随机相移、无IRS方案对比,能够有效提高系统的安全速率.
Abstract
This paper focuses on the physical layer security of intelligent reflecting surface(IRS)assisted non-orthogonal multiple access technology systems,considering that the eavesdropping channel is imperfect,and the base station transmits data to legitimate users with the assistance of IRS.Under the constraints of maximum transmit power of the base station,the phase shift of the IRS and successive interference cancellation(SIC)decoding order,the security rate maximization problem for the systems is formulated by jointly optimizing the beamforming vector of the base station and the phase shift of the IRS.Firstly,SIC decoding order is determined based on the combined channel gain of legitimate users.Then,the optimization problem is decoupled into two sub-problems by using an alternating optimization approach,and the objective function and constraints are transformed by exploiting penalty based successive convex approximation,relaxation variables,and first-order Taylor expansion.Next,the S-procedure method is used to deal with the uncertainty of the eavesdropping channel,and the sub-problem is transformed into a convex optimization problem and solved.Simulation results show that the proposed scheme can effectively improve the security rate of the system compared with the schemes of centralized deployment of IRS,random phase shift,and without IRS.
关键词
智能反射面/非正交多址接入/物理层安全/非完美信道状态信息/波束成形Key words
intelligent reflective surface/non-orthogonal multiple access/physical layer security/imperfect channel state information/beamforming引用本文复制引用
基金项目
国家自然科学基金(U23A20279)
国家自然科学基金(62271094)
重庆市自然科学基金创新发展联合基金重点项目(CSTB2022NSCQ-LZX0009)
重庆市教委科学技术研究项目(KJZD-K202200601)
四川省区域创新合作项目(2022YFQ0017)
出版年
2024
NETL
NSTL
万方数据