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TitleA Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
Author (Name in English or Pinyin)
Saad, W.1; Bennis, M.2; Chen, M.3
Date Issued2020-06-01
Source PublicationIEEE Network
AbstractThe ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Everything applications. These 5G drawbacks are spurring worldwide activities focused on defining the next-generation 6G wireless system that can truly integrate far-reaching applications ranging from autonomous systems to extended reality. Despite recent 6G initiatives (one example is the 6Genesis project in Finland), the fundamental architectural and performance components of 6G remain largely undefined. In this article, we present a holistic, forward-looking vision that defines the tenets of a 6G system. We opine that 6G will not be a mere exploration of more spectrum at high-frequency bands, but it will rather be a convergence of upcoming technological trends driven by exciting, underlying services. In this regard, we first identify the primary drivers of 6G systems, in terms of applications and accompanying technological trends. Then, we propose a new set of service classes and expose their target 6G performance requirements. We then identify the enabling technologies for the introduced 6G services and outline a comprehensive research agenda that leverages those technologies. We conclude by providing concrete recommendations for the roadmap toward 6G. Ultimately, the intent of this article is to serve as a basis for stimulating more out-of-the-box research around 6G.
Keyword6G mobile communication 5G mobile communication Market research Wireless communication Wireless sensor networks Sensors
Indexed BySCIE
Funding ProjectU.S. National Science Foundation [CNS-1836802]; Academy of Finland project CARMA; Academy of Finland project MISSION; Academy of Finland project SMARTER; Nokia Bell-Labs project FOGGY; Nokia Foundation; INFOTECH project NOOR
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000541150100019
Original Document TypeArticle
Firstlevel Discipline信息科学与系统科学
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 34 期: 3 页: 134-142
[1] M. Chen et al., "Artifcial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial," IEEE Commun. Surveys & Tutorials, to appear, 2019.
Data SourceWOS
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFuture Network of Intelligence Institute
School of Science and Engineering
Corresponding AuthorSaad, W.
1.Walid Saad Is with Virginia Tech, United States
2.University of Oulu, Finland
3.Chinese University of Hong Kong, Princeton University, Virginia Tech, Shenzhen, China
Recommended Citation
GB/T 7714
Saad, W.,Bennis, M.,Chen, M. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems[J]. IEEE Network,2020,34(3):134-142.
APA Saad, W., Bennis, M., & Chen, M. (2020). A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems. IEEE Network, 34(3), 134-142.
MLA Saad, W.,et al."A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems".IEEE Network 34.3(2020):134-142.
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