6G FSO回程网络性能改进的云感知动态无人机操作

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Minseung Park;Minsu Choi;Jong-Moon Chung
{"title":"6G FSO回程网络性能改进的云感知动态无人机操作","authors":"Minseung Park;Minsu Choi;Jong-Moon Chung","doi":"10.1109/OJCOMS.2024.3520636","DOIUrl":null,"url":null,"abstract":"Non-terrestrial networks (NTNs) that support communication via unmanned aerial vehicles (UAVs) in 6G systems are attracting considerable interest. To meet the quality of service (QoS) requirements for future 6G devices, the backhaul network of NTNs must provide higher throughput and more secure wireless connectivity. It is anticipated that backhaul NTNs with high throughput free space optical (FSO) communication will play a significant role in supporting multiple users. However, establishing a stable FSO communication link using UAVs can be disrupted by various obstacles, including clouds and atmospheric conditions. To address this challenge, it is essential to consider the effect of clouds on the FSO backhaul network. In this paper, the method for optimizing the deployment of multiple UAVs considering the probability of cloud attenuation is proposed. Specifically, this paper presents a cloud-aware dynamic UAV operation (CDUO) scheme, which contains an optimization process using the generalized Lagrange multiplier method (GLMM). Simulation results (based on blimp-type unmanned aerial stations (UASs)) show that the CDUO scheme can provide a superior outage probability performance compared to existing schemes. The CDUO scheme can be utilized in NTNs that operate above the clouds.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"130-142"},"PeriodicalIF":6.3000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810353","citationCount":"0","resultStr":"{\"title\":\"Cloud Aware Dynamic UAV Operation for 6G FSO Backhaul Network Performance Improvement\",\"authors\":\"Minseung Park;Minsu Choi;Jong-Moon Chung\",\"doi\":\"10.1109/OJCOMS.2024.3520636\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Non-terrestrial networks (NTNs) that support communication via unmanned aerial vehicles (UAVs) in 6G systems are attracting considerable interest. To meet the quality of service (QoS) requirements for future 6G devices, the backhaul network of NTNs must provide higher throughput and more secure wireless connectivity. It is anticipated that backhaul NTNs with high throughput free space optical (FSO) communication will play a significant role in supporting multiple users. However, establishing a stable FSO communication link using UAVs can be disrupted by various obstacles, including clouds and atmospheric conditions. To address this challenge, it is essential to consider the effect of clouds on the FSO backhaul network. In this paper, the method for optimizing the deployment of multiple UAVs considering the probability of cloud attenuation is proposed. Specifically, this paper presents a cloud-aware dynamic UAV operation (CDUO) scheme, which contains an optimization process using the generalized Lagrange multiplier method (GLMM). Simulation results (based on blimp-type unmanned aerial stations (UASs)) show that the CDUO scheme can provide a superior outage probability performance compared to existing schemes. The CDUO scheme can be utilized in NTNs that operate above the clouds.\",\"PeriodicalId\":33803,\"journal\":{\"name\":\"IEEE Open Journal of the Communications Society\",\"volume\":\"6 \",\"pages\":\"130-142\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10810353\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of the Communications Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10810353/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Communications Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10810353/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

在6G系统中支持通过无人驾驶飞行器(uav)进行通信的非地面网络(ntn)引起了相当大的兴趣。为了满足未来6G设备对服务质量(QoS)的要求,ntn回程网络必须提供更高的吞吐量和更安全的无线连接。具有高吞吐量自由空间光通信(FSO)功能的回程ntn有望在支持多用户方面发挥重要作用。然而,使用无人机建立稳定的FSO通信链路可能会受到各种障碍的干扰,包括云和大气条件。为了应对这一挑战,必须考虑云对FSO回程网络的影响。本文提出了考虑云衰减概率的多无人机优化部署方法。具体而言,本文提出了一种云感知无人机动态操作(CDUO)方案,该方案包含一个使用广义拉格朗日乘子方法(GLMM)的优化过程。基于飞艇型无人机站(UASs)的仿真结果表明,与现有方案相比,CDUO方案具有更好的中断概率性能。CDUO方案可用于运行在云之上的ntn。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Aware Dynamic UAV Operation for 6G FSO Backhaul Network Performance Improvement
Non-terrestrial networks (NTNs) that support communication via unmanned aerial vehicles (UAVs) in 6G systems are attracting considerable interest. To meet the quality of service (QoS) requirements for future 6G devices, the backhaul network of NTNs must provide higher throughput and more secure wireless connectivity. It is anticipated that backhaul NTNs with high throughput free space optical (FSO) communication will play a significant role in supporting multiple users. However, establishing a stable FSO communication link using UAVs can be disrupted by various obstacles, including clouds and atmospheric conditions. To address this challenge, it is essential to consider the effect of clouds on the FSO backhaul network. In this paper, the method for optimizing the deployment of multiple UAVs considering the probability of cloud attenuation is proposed. Specifically, this paper presents a cloud-aware dynamic UAV operation (CDUO) scheme, which contains an optimization process using the generalized Lagrange multiplier method (GLMM). Simulation results (based on blimp-type unmanned aerial stations (UASs)) show that the CDUO scheme can provide a superior outage probability performance compared to existing schemes. The CDUO scheme can be utilized in NTNs that operate above the clouds.
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
CiteScore
13.70
自引率
3.80%
发文量
94
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.
×
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