内容：
随着无线通信技术的快速发展与广泛应用,基于信道状态信息进行信息安全传输的物理层安全技术已成为业界的研究重点。为此,基于物理层安全技术,在分析加入了多个协作干扰者的MIMO无线通信系统的系统模型并同时考虑信道状态信息不确定性的基础上,提出了安全速率最大化优化问题以寻找合适的功率分配方案,并进一步基于一阶泰勒展开和S-程序理论设计出了相应的鲁棒优化算法。为验证所提出算法的有效性和可行性,应用MATLAB进行了仿真计算,并就干扰者个数和安全速率的关系进行了分析。仿真实验结果表明,增加协作干扰者个数可提升系统的安全性能;在信道信息未完全已知的前提下,所提出的鲁棒优化算法可比非鲁棒优化算法达到更高的安全速率。With the rapid development of wireless communication technology and widely used, based on the channel state information for information security transmission of physical layer security technology has become the industry's research focus. In this paper, based on the physical layer security technology, based on the analysis of the system model of the MIMO wireless communication system with multiple cooperative disturbances and the consideration of the uncertainty of the channel state information, a safety rate maximization optimization problem is proposed to find the right And further based on the first-order Taylor expansion and S-program theory, the corresponding robust optimization algorithm is designed. In order to verify the validity and feasibility of the proposed algorithm, the simulation calculation is carried out by using MATLAB, and the relationship between the number of disturbances and the security rate is analyzed. The simulation results show that the number of cooperative interference can improve the security performance of the system. Under the premise that the channel information is not fully known, the proposed robust optimization algorithm can achieve a higher security rate than the non-robust optimization algorithm.

文件列表（点击上边下载按钮，如果是垃圾文件请在下面评价差评或者投诉）: