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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Beamforming Aided Secrecy Energy Efficiency Maximization in Heterogeneous Cellular Networks
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Beamforming Aided Secrecy Energy Efficiency Maximization in Heterogeneous Cellular Networks

机译：非均匀蜂窝网络中的波束成形辅助保密能效最大化

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This paper investigates the secrecy energy efficiency (SEE) for a two-tier heterogeneous cellular network having a macro cell and multiple small cells, where the macro cell consists of a macro base station (MBS), a macro user and an eavesdropper and meanwhile each small cell comprises of a small base station (SBS), a small user and an eavesdropper. We consider the use of artificial noise (AN) signals emitted at MBS and SBSs at the expense of transmit power to defend against eavesdroppers. For the sake of obtaining a better balance between the secrecy rate (SR) and energy efficiency of heterogeneous cellular networks, we propose an SEE maximization (SEEM) scheme in small cells through jointly optimizing the beamformers of confidential signals and AN at MBS and SBSs, called joint beamforming based SEEM (JBF-SEEM) while guaranteeing the SR requirements and the power constraints for MBS and each SBS. However, the proposed JBF-SEEM problem is a complicated optimization problem because of the non-convex fractional form. Thus, we firstly transform the original objective function in fractional form into a subtractive one through applying the Dinkelbach's method, and then the non-convex subtractive form is approximated into a convex optimization problem by combining the penalty function and the difference of two-convex functions approach. Furthermore, we propose a two-tier iterative JBF-SEEM algorithm to obtain the near-optimal beamforming solution. Numerical results show that the JBF-SEEM algorithm is convergent while achieving a better SEE performance than conventional approaches.
机译：本文研究了具有宏小区和多个小单元的双层异构蜂窝网络的保密能效（见），其中宏小区由宏基站（MBS），宏用户和窃听器组成，同时每个小电池包括小型基站（SBS），小用户和窃听器。我们考虑使用在MBS和SBS中发射的人工噪声（AN）信号，以牺牲发射力来防御窃听者。为了获得不均匀蜂窝网络的保密率（SR）和能量效率之间获得更好的平衡，我们通过共同优化机密信号和MBS和SBSS的波束形成器，提出在小细胞中看到最大化（似乎）方案，基于联合波束成形的似乎（JBF-Sems），同时保证SR要求和MB和每个SBS的功率约束。然而，由于非凸分数形式，所提出的JBF似乎问题是复杂的优化问题。因此，我们首先通过应用Dinkelbach的方法将原始目标函数以分数形式转换为消减器，然后通过组合惩罚功能和双凸函数的差异来近似于非凸形减法形式。方法。此外，我们提出了一种双层迭代JBF族似乎算法，以获得近乎最佳的波束形成解决方案。数值结果表明，JBF-Scem算法是收敛的，同时实现比传统方法更好地看到性能。

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