5G/6G 毫米波和 sub-THz 系统中的多播模型、方法和解决方案

IF 34.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Communications Surveys and Tutorials Pub Date : 2023-09-26 DOI:10.1109/COMST.2023.3319354
Nadezhda Chukhno;Olga Chukhno;Dmitri Moltchanov;Sara Pizzi;Anna Gaydamaka;Andrey Samuylov;Antonella Molinaro;Yevgeni Koucheryavy;Antonio Iera;Giuseppe Araniti
{"title":"5G/6G 毫米波和 sub-THz 系统中的多播模型、方法和解决方案","authors":"Nadezhda Chukhno;Olga Chukhno;Dmitri Moltchanov;Sara Pizzi;Anna Gaydamaka;Andrey Samuylov;Antonella Molinaro;Yevgeni Koucheryavy;Antonio Iera;Giuseppe Araniti","doi":"10.1109/COMST.2023.3319354","DOIUrl":null,"url":null,"abstract":"Multicasting in wireless access networks is a functionality that, by leveraging group communications, turns out to be essential for reducing the amount of resources needed to serve users requesting the same content. The support of this functionality in the modern 5G New Radio (NR) and future sub-Terahertz (sub-THz) 6G systems faces critical challenges related to the utilization of massive antenna arrays forming directional radiation patterns, multi-beam functionality, and use of multiple Radio Access Technologys (RATs) having distinctively different coverage and technological specifics. As a result, optimal multicasting in these systems requires novel solutions. This article aims to provide an exhaustive treatment of performance optimization methods for 5G/6G mmWave/sub-THz systems and discuss the associated challenges and opportunities. We start by surveying 3rd Generation Partnership Project (3GPP) mechanisms to support multicasting at the NR radio interface and approaches to modeling the 5G/6G radio segment. Then, we illustrate optimal multicast solutions for different 5G NR deployments and antenna patterns, including single- and multi-beam antenna arrays and single- and multiple RAT deployments. Further, we survey new advanced functionalities for improving multicasting performance in 5G/6G systems, encompassing Reflective Intelligent Surfaces (RISs), NR-sidelink technology, and mobile edge enhancements, among many others. Finally, we outline perspectives of multicasting in future 6G networks.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"26 1","pages":"119-159"},"PeriodicalIF":34.4000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10263616","citationCount":"0","resultStr":"{\"title\":\"Models, Methods, and Solutions for Multicasting in 5G/6G mmWave and Sub-THz Systems\",\"authors\":\"Nadezhda Chukhno;Olga Chukhno;Dmitri Moltchanov;Sara Pizzi;Anna Gaydamaka;Andrey Samuylov;Antonella Molinaro;Yevgeni Koucheryavy;Antonio Iera;Giuseppe Araniti\",\"doi\":\"10.1109/COMST.2023.3319354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multicasting in wireless access networks is a functionality that, by leveraging group communications, turns out to be essential for reducing the amount of resources needed to serve users requesting the same content. The support of this functionality in the modern 5G New Radio (NR) and future sub-Terahertz (sub-THz) 6G systems faces critical challenges related to the utilization of massive antenna arrays forming directional radiation patterns, multi-beam functionality, and use of multiple Radio Access Technologys (RATs) having distinctively different coverage and technological specifics. As a result, optimal multicasting in these systems requires novel solutions. This article aims to provide an exhaustive treatment of performance optimization methods for 5G/6G mmWave/sub-THz systems and discuss the associated challenges and opportunities. We start by surveying 3rd Generation Partnership Project (3GPP) mechanisms to support multicasting at the NR radio interface and approaches to modeling the 5G/6G radio segment. Then, we illustrate optimal multicast solutions for different 5G NR deployments and antenna patterns, including single- and multi-beam antenna arrays and single- and multiple RAT deployments. Further, we survey new advanced functionalities for improving multicasting performance in 5G/6G systems, encompassing Reflective Intelligent Surfaces (RISs), NR-sidelink technology, and mobile edge enhancements, among many others. Finally, we outline perspectives of multicasting in future 6G networks.\",\"PeriodicalId\":55029,\"journal\":{\"name\":\"IEEE Communications Surveys and Tutorials\",\"volume\":\"26 1\",\"pages\":\"119-159\"},\"PeriodicalIF\":34.4000,\"publicationDate\":\"2023-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10263616\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Communications Surveys and Tutorials\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10263616/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Surveys and Tutorials","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10263616/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

无线接入网络中的组播是一种利用群组通信的功能,对于减少为请求相同内容的用户提供服务所需的资源量至关重要。在现代 5G 新无线电(NR)和未来的亚太赫兹(sub-THz)6G 系统中支持这一功能面临着严峻的挑战,这些挑战与利用大规模天线阵列形成定向辐射模式、多波束功能以及使用具有明显不同覆盖范围和技术特性的多种无线接入技术(RAT)有关。因此,这些系统中的最佳组播需要新颖的解决方案。本文旨在详尽论述 5G/6G 毫米波/次 THz 系统的性能优化方法,并讨论相关的挑战和机遇。我们首先介绍了第三代合作伙伴计划(3GPP)在 NR 无线电接口上支持组播的机制,以及 5G/6G 无线电段的建模方法。然后,我们说明了针对不同 5G NR 部署和天线模式的最佳组播解决方案,包括单波束和多波束天线阵列以及单 RAT 和多 RAT 部署。此外,我们还介绍了用于提高 5G/6G 系统组播性能的新型高级功能,包括反射智能表面 (RIS)、NR 侧联技术和移动边缘增强技术等。最后,我们概述了未来 6G 网络中的组播前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Models, Methods, and Solutions for Multicasting in 5G/6G mmWave and Sub-THz Systems
Multicasting in wireless access networks is a functionality that, by leveraging group communications, turns out to be essential for reducing the amount of resources needed to serve users requesting the same content. The support of this functionality in the modern 5G New Radio (NR) and future sub-Terahertz (sub-THz) 6G systems faces critical challenges related to the utilization of massive antenna arrays forming directional radiation patterns, multi-beam functionality, and use of multiple Radio Access Technologys (RATs) having distinctively different coverage and technological specifics. As a result, optimal multicasting in these systems requires novel solutions. This article aims to provide an exhaustive treatment of performance optimization methods for 5G/6G mmWave/sub-THz systems and discuss the associated challenges and opportunities. We start by surveying 3rd Generation Partnership Project (3GPP) mechanisms to support multicasting at the NR radio interface and approaches to modeling the 5G/6G radio segment. Then, we illustrate optimal multicast solutions for different 5G NR deployments and antenna patterns, including single- and multi-beam antenna arrays and single- and multiple RAT deployments. Further, we survey new advanced functionalities for improving multicasting performance in 5G/6G systems, encompassing Reflective Intelligent Surfaces (RISs), NR-sidelink technology, and mobile edge enhancements, among many others. Finally, we outline perspectives of multicasting in future 6G networks.
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
IEEE Communications Surveys and Tutorials
IEEE Communications Surveys and Tutorials COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
80.20
自引率
2.50%
发文量
84
审稿时长
6 months
期刊介绍: IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues. A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.
期刊最新文献
Table of Contents Editorial: Fourth Quarter 2024 IEEE Communications Surveys and Tutorials Table of Contents Editorial: Third Quarter 2024 IEEE Communications Surveys and Tutorials Machine Learning in FCAPS: Toward Enhanced Beyond 5G Network Management
×
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:481959085
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