Toward the 6G Network Era: Opportunities and Challenges
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The next generation of telecommunication networks will integrate the latest developments and emerging advancements in telecommunications connectivity infrastructures. In this article, we discuss the transformation and convergence of the fifth-generation (5G) mobile network and the internet of things technologies, toward the emergence of the smart sixth-generation (6G) networks which will employ AI to optimize and automate their operation.
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AR will help view the inside of a patient's body without incision, and doctors can adjust the depth of the specific location in the body.
“AR will help to view the inside of the body of a patient without any incision. Moreover, doctors can adjust the depth of the specific location in the body [39].”
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- Ioannis Tomkos is currently a Professor of Optical Communications with the Department of Electrical and Computer Engineering, University of Patras, Patras, Greece. In the past, he was Professor and Research Director of Next Generation Networks with AIT (Athens, Greece). His "High Speed Networks and Optical Communication (NOC)" Research Group was/is involved in more than 25 EU-funded research projects with a consortium-wide leading role. He is a Fellow of the IEEE, a Fellow of the IET and a Fellow of the "Optical Society." Together with his colleagues and students, he has authored more than 650 peer- reviewed archival articles. Contact him at itom@ait.gr. Dimitrios Klonid is currently the Head of the Net- work Softwarization and IoT Unit with Ubitech. He received the Ph.D. degree in optical communications from Essex University, Colchester, U.K., in 2006. He has been involved in numerous EU-funded research projects, gaining expertise in various areas, including optical network planning control and performance evaluation. He has coauthored more than 150 publi- cations in international journals and conferences.
- Contact him at dklonidis@ubitech.eu. Evangelos Pikasis is currently a DSP and Telecom Engineer with EULAMBIA Advanced Technologies Ltd., Greece. He received the Ph.D. degree in the area of optical communications from the National and Kapodistrian University of Athens, Athens, Greece, in 2014. His area of expertise includes optical commu- nication systems, analog radio over fiber, advan- ced modulation schemes, digital signal processing, FPGAs, and cryptography at the physical layer. Contact him at evangelos.pikasis@eulambia.com. Sergios Theodoridis is currently a Professor of Signal Processing and Machine Learning at National and Kapodistrian University of Athens, Greece. He is the author of the book Machine Learning: A Bayes- ian and Optimization Perspective (Academic, 2nd ed., 2020). He received the 2017 EURASIP Athana- sios Papoulis Award, the 2014 IEEE Signal Process- ing Society Education Award, and the 2014 EURASIP Meritorious Service Award. He currently serves as Vice President of the IEEE Signal Process- ing Society. He is a Fellow of IET, a Corresponding Fellow of the Royal Society of Edinburgh, a Fellow of EURASIP, and a Fellow of IEEE. Contact him at stheodor@di.uoa.gr.
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DRIVE: Dynamic Resource Introspection and VNF Embedding for 5G Using Machine Learning
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Role of 6G Networks: Use Cases and Research Directions
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- Authors
- Tomkos, I., Klonidis, D., Pikasis, E., & Theodoridis, S.
- Affiliations
- University of Patras (GR)
- Ubitech (Greece) (GR)
- EULAMBIA Advanced Technologies Ltd
- National and Kapodistrian University of Athens (GR)
- Venue
- IT Professional
- Published
- 2020-01-01
- Volume
- 22
- Issue
- 1
- Pages
- 34-38
- ISSN
- 1520-9202 (ISSN-L)
- 1941-045X
- OpenAlex
- W3006387471
- Cited by
- 250
- References
- 6
- Citations by year
- 2026: 16 · 2025: 28 · 2024: 42 · 2023: 49 · 2022: 48 · 2021: 37 · 2020: 30
- FWCI
- 14.08
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- IT Professional (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- 6G, 5G, Internet of Things, network convergence, artificial intelligence in telecommunications, network automation, telecommunications infrastructure
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