AN-Aided Secure Beamforming in Power-Splitting-Enabled SWIPT MIMO Heterogeneous Wireless Sensor Networks
AN-Aided Secure Beamforming in Power-Splitting-Enabled SWIPT MIMO Heterogeneous Wireless Sensor Networks
复制标题
支持功率分割的 SWIPT MIMO 异构无线传感器网络中的 AN 辅助安全波束成形
DOI：
10.3390/electronics8040459
复制
发表时间：
2019
期刊：
影响因子：
2.9
通讯作者：
Chu Zheng
中科院分区：
文献类型：
--
作者：
Ge Weili;Zhu Zhengyu;Hao Wanming;Wang Yi;Wang Zhongyong;Wu Qiong;Chu Zheng
针对具有人工噪声(AN)传输的多用户多输入多输出窃听信道(AN)，研究了基于同时无线信息和功率传输(SWIPT)的双层异质无线传感器网络(HWSN)的物理层安全性，其中HWSN的更一般的系统框架仅包括一个宏小区和一个毫微微小区。为了实现安全增强和绿色通信，在考虑多个M-SN之间公平性的同时，建立了宏蜂窝和毫微微小区安全波束形成向量、AN向量和功率分配比的联合优化问题，以最大化被监听的宏小区传感器节点(M-SN)的最小保密容量。为了减少SDR技术在求解非凸极大极小规划时的秩松弛性能损失，我们应用逐次凸逼近(SCA)技术、一阶泰勒级数展开和序列参数凸逼近(SPCA)方法将极大极小规划转化为二阶锥规划(SOCP)问题，以迭代到近最优解。此外，我们还提出了一种新的基于SCA-SPCA的迭代算法，并证明了它的收敛性质。仿真结果表明，基于SCA-SPCA的方法比传统方法具有更好的性能。
In this paper, we investigate the physical layer security in a two-tier heterogeneous wireless sensor network (HWSN) depending on simultaneous wireless information and power transfer (SWIPT) approach for multiuser multiple-input multiple-output wiretap channels with artificial noise (AN) transmission, where a more general system framework of HWSN only includes a macrocell and a femtocell. For the sake of implementing security enhancement and green communications, the joint optimization problem of the secure beamforming vector at the macrocell and femtocell, the AN vector, and the power splitting ratio is modeled to maximize the minimal secrecy capacity of the wiretapped macrocell sensor nodes (M-SNs) while considering the fairness among multiple M-SNs. To reduce the performance loss of the rank relaxation from the SDR technique while solving the non-convex max–min program, we apply successive convex approximation (SCA) technique, first-order Taylor series expansion and sequential parametric convex approximation (SPCA) approach to transform the max–min program to a second order cone programming (SOCP) problem to iterate to a near-optimal solution. In addition, we propose a novel SCA-SPCA-based iterative algorithm while its convergence property is proved. The simulation shows that our SCA-SPCA-based method outperforms the conventional methods.