NFV/SDN as an Enabler for Dynamic Placement Method of mmWave Embedded UAV Access Base Stations

IF 3.1 3区 医学 Q2 NEUROSCIENCES Network Neuroscience Pub Date : 2022-09-26 DOI:10.3390/network2040029
G. Tran, Masanori Ozasa, Jin Nakazato
{"title":"NFV/SDN as an Enabler for Dynamic Placement Method of mmWave Embedded UAV Access Base Stations","authors":"G. Tran, Masanori Ozasa, Jin Nakazato","doi":"10.3390/network2040029","DOIUrl":null,"url":null,"abstract":"In the event of a major disaster, base stations in the disaster area will cease to function, making it impossible to obtain life-saving information. Therefore, it is necessary to provide a wireless communication infrastructure as soon as possible. To cope with this situation, we focus on NFV/SDN (Network Function Virtualization/Software-Defined Networking)-enabled UAVs equipped with a wireless communication infrastructure to provide services. The access link between the UAV and the user is assumed to be equipped with a millimeter-wave interface to achieve high throughput. However, the use of millimeter-waves increases the effect of attenuation, making the deployment of UAVs problematic. In addition, if multiple UAVs are deployed in a limited frequency band, co-channel interference will occur between the UAVs, resulting in a decrease in the data rate. Therefore, in this paper, we propose a method that combines UAV placement and frequency division for a non-uniform user distribution in an environment with multiple UAVs. As a result, it is found that the offered data rate is improved by using our specific placement method, in terms of not only the average but also the outage user rate.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"105 1","pages":"479-499"},"PeriodicalIF":3.1000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Network Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/network2040029","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 5

Abstract

In the event of a major disaster, base stations in the disaster area will cease to function, making it impossible to obtain life-saving information. Therefore, it is necessary to provide a wireless communication infrastructure as soon as possible. To cope with this situation, we focus on NFV/SDN (Network Function Virtualization/Software-Defined Networking)-enabled UAVs equipped with a wireless communication infrastructure to provide services. The access link between the UAV and the user is assumed to be equipped with a millimeter-wave interface to achieve high throughput. However, the use of millimeter-waves increases the effect of attenuation, making the deployment of UAVs problematic. In addition, if multiple UAVs are deployed in a limited frequency band, co-channel interference will occur between the UAVs, resulting in a decrease in the data rate. Therefore, in this paper, we propose a method that combines UAV placement and frequency division for a non-uniform user distribution in an environment with multiple UAVs. As a result, it is found that the offered data rate is improved by using our specific placement method, in terms of not only the average but also the outage user rate.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于NFV/SDN的毫米波嵌入式无人机接入基站动态布局方法
一旦发生重大灾害,灾区的基站将停止运作,无法获取救生信息。因此,有必要尽快提供无线通信基础设施。为了应对这种情况,我们将重点放在NFV/SDN(网络功能虚拟化/软件定义网络)无人机上,这些无人机配备了无线通信基础设施来提供服务。假设无人机和用户之间的接入链路配备了毫米波接口以实现高吞吐量。然而,毫米波的使用增加了衰减的效果,使无人机的部署成为问题。此外,如果多架无人机部署在一个有限的频带内,无人机之间会产生同信道干扰,导致数据速率下降。因此,在本文中,我们提出了一种结合无人机放置和分频的方法,以解决多无人机环境下用户分布不均匀的问题。结果发现,通过使用我们的特定放置方法,提供的数据速率不仅在平均速率方面,而且在中断用户速率方面都得到了提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
期刊最新文献
Erratum: Structure-function coupling using fixel-based analysis and functional magnetic resonance imaging in Alzheimer's disease and mild cognitive impairment. Brain rewiring during development: A comparative analysis of larval and adult Drosophila melanogaster connectomes. A prior-knowledge-guided feature selection method and its application to biomarker identification of schizophrenia. Network control theory applied to the human connectome: A study on variability and discriminability of fMRI connectomic features under normal and defective sensorineural conditions. Revealing brain network dynamics during the emotional state of suspense using TDA.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1