双向认知网络物理层安全策略建模及仿真研究

Modeling and Simulation of Physical Layer Security Strategy in Two-Way Cognitive Networks

为提高移动通信系统的性能,构建了一个存在主网络干扰和窃听者的双向认知中继网络的物理层安全传输模型,设计了一种中继选择和功率分配的联合优化策略,用于对抗窃听者,保护收发节点的信息传输。通过仿真分析得出,此非凸优化问题限制条件较多,难以保证粒子群优化算法随机生成的初始解的可行性,从而造成求解困难。提出了一种基于可变网格优化和粒子群优化算法的混合优化算法。仿真结果表明此算法提高了次级网络的保密速率,提升了次级网络的安全性能。

In order to improve the performance of the mobile communication system, the physical layer security transmission models of a two-way cognitive relay network with the primary network and eavesdropper are established, and a joint optimization strategy for relay selection and power allocation is proposed to protect the source-destination transmission against the eavesdropper. It can be seen from the simulation analysis that this non-convex optimization problem has many restrictions, and it is difficult to guarantee the feasibility of the initial solution generated randomly by the PSO algorithm, resulting in the difficulty of obtaining solution. Therefore, a hybrid optimization algorithm based on variable mesh optimization(VMO) and particle swarm optimization(PSO) is proposed. Simulation results show that this algorithm improves the security rate and performance of the secondary network.