...
首页> 外文期刊>IEEE Transactions on Vehicular Technology >Physical Layer Security for NOMA Transmission in mmWave Drone Networks
【24h】

Physical Layer Security for NOMA Transmission in mmWave Drone Networks

机译:MMWAVE驱动器网络中NOMA传输的物理层安全性

获取原文
获取原文并翻译 | 示例
           

摘要

The non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) transmission enable the unmanned aerial vehicle (UAV) assisted wireless networks to provide broadband connectivity over densely packed urban areas. The presence of malicious receivers, however, compromise the security of the UAV-to-ground communications links, thereby degrading secrecy rates. In this work, we consider a NOMA-based transmission strategy in a mmWave UAV-assisted wireless network, and investigate the respective secrecy-rate performance rigorously. In particular, we propose a protected-zone approach to enhance the secrecy-rate performance by preventing the most vulnerable subregion (outside the user region) from the presence of malicious receivers. The respective secrecy rates are then derived analytically as a function of the particular protected zone, which verifies great secrecy rate improvements through optimizing shape of the protected zone in use. Furthermore, we show that the optimal protected zone shape for mmWave links appears as a compromise between protecting the angle versus distance dimension, which would otherwise form to protect solely the distance dimension for sub-6 GHz links. We also numerically evaluate the impact of transmission power, protected-zone size, and UAV altitude on the secrecy-rate performance improvement for the sake of practical deployments.
机译:非正交多址接入(NOMA)和毫米波(毫米波)传输启用辅助无线网络以提供宽带连接在密集的城市地区的无人驾驶飞行器(UAV)。恶意接收器的存在,然而,妥协无人机对地通信链路的安全性,从而降低保密速率。在这项工作中,我们考虑在毫米波无人机辅助的无线网络基于NOMA传输策略,并严格追究相应的保密速率性能。特别是,我们提出了一个保护区的办法,以提高通过防止最脆弱的次区域(用户区域外)恶意接收器的存在保密速率性能。各自的保密率然后分析推导的特定受保护的区域的功能,从而验证通过使用优化保护区的形状大秘密速率的改进。此外,我们表明,毫米波链接的最佳保护区的形状显示为保护的角度与距离尺寸之间的妥协,否则就会形成保护仅仅是为了分6 GHz的链路的距离尺寸。我们还用数字评估发射功率,保护区的大小,以及无人机上实际部署的缘故保密速率的性能提升高度的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号