地形存在下蜂窝网络物理层安全

Fenghe Hu, Ayda Babaei, H. Aghvami
{"title":"地形存在下蜂窝网络物理层安全","authors":"Fenghe Hu, Ayda Babaei, H. Aghvami","doi":"10.1109/ICT.2019.8798842","DOIUrl":null,"url":null,"abstract":"Physical layer security (PHYLS) has become an important factor to consider with the deployment of 5G small-cell network and the application of massive multiple-input-multiple-output (MIMO). In a real small-cell network, the environment contains various objects which may affect a propagating signal. Accordingly, this work investigates the performance of different strategies by building a propagation model for PHYLS in the presence of random terrains. The Monte Carlo simulation is used to perform the simulation for the affect of terrains under different scenarios. Furthermore, two different approaches for improving PHYLS in the outlined environment and their influence is discussed. This includes separate antenna selection (SAS) and strategical artificial noise (SAN). The performance of each approach is simulated and the results are analysed. Our findings indicate that the existence of terrain may negatively affect the PHYLS performance. However, by implementing the aforementioned techniques we can compensate for degrading PHYLS with the cost of radio frequency (RF) resources.","PeriodicalId":127412,"journal":{"name":"2019 26th International Conference on Telecommunications (ICT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Physical Layer Security in Cellular Network in the Presence of Terrains\",\"authors\":\"Fenghe Hu, Ayda Babaei, H. Aghvami\",\"doi\":\"10.1109/ICT.2019.8798842\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Physical layer security (PHYLS) has become an important factor to consider with the deployment of 5G small-cell network and the application of massive multiple-input-multiple-output (MIMO). In a real small-cell network, the environment contains various objects which may affect a propagating signal. Accordingly, this work investigates the performance of different strategies by building a propagation model for PHYLS in the presence of random terrains. The Monte Carlo simulation is used to perform the simulation for the affect of terrains under different scenarios. Furthermore, two different approaches for improving PHYLS in the outlined environment and their influence is discussed. This includes separate antenna selection (SAS) and strategical artificial noise (SAN). The performance of each approach is simulated and the results are analysed. Our findings indicate that the existence of terrain may negatively affect the PHYLS performance. However, by implementing the aforementioned techniques we can compensate for degrading PHYLS with the cost of radio frequency (RF) resources.\",\"PeriodicalId\":127412,\"journal\":{\"name\":\"2019 26th International Conference on Telecommunications (ICT)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 26th International Conference on Telecommunications (ICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICT.2019.8798842\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 26th International Conference on Telecommunications (ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT.2019.8798842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着5G小蜂窝网络的部署和大规模多输入多输出(MIMO)的应用,物理层安全性(PHYLS)已成为需要考虑的重要因素。在真实的小蜂窝网络中,环境包含各种可能影响信号传播的对象。因此,本研究通过建立PHYLS在随机地形下的传播模型来研究不同策略的性能。采用蒙特卡罗模拟方法对不同场景下地形的影响进行了模拟。此外,本文还讨论了在上述环境下改善phls的两种不同方法及其影响。这包括单独的天线选择(SAS)和战略人工噪声(SAN)。对每种方法的性能进行了仿真,并对结果进行了分析。我们的研究结果表明,地形的存在可能会对PHYLS的性能产生负面影响。然而,通过实现上述技术,我们可以用射频(RF)资源的成本来补偿PHYLS的退化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physical Layer Security in Cellular Network in the Presence of Terrains
Physical layer security (PHYLS) has become an important factor to consider with the deployment of 5G small-cell network and the application of massive multiple-input-multiple-output (MIMO). In a real small-cell network, the environment contains various objects which may affect a propagating signal. Accordingly, this work investigates the performance of different strategies by building a propagation model for PHYLS in the presence of random terrains. The Monte Carlo simulation is used to perform the simulation for the affect of terrains under different scenarios. Furthermore, two different approaches for improving PHYLS in the outlined environment and their influence is discussed. This includes separate antenna selection (SAS) and strategical artificial noise (SAN). The performance of each approach is simulated and the results are analysed. Our findings indicate that the existence of terrain may negatively affect the PHYLS performance. However, by implementing the aforementioned techniques we can compensate for degrading PHYLS with the cost of radio frequency (RF) resources.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信