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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 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].”
From 6G Communication Technology: A Vision on Intelligent Healthcare (2021) · cites this paper as [39]
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Rappaport, T. S., Xing, Y., Kanhere, O., Ju, S., Madanayake, A., Mandal, S., Alkhateeb, A., & Trichopoulos, G. C. (2019) · IEEE Access · doi:10.1109/access.2019.2921522 · Cited by 2,617 · cited 5×
“The ultimate goal will be to enhance all the applications and vertical use cases of 5G networks with the capability of cognition offered by cognitive computing systems that use the vast amounts of available data and Machine Learning (ML) algorithms.(1,2)”
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Dorner, S., Cammerer, S., Hoydis, J., & Brink, S. T. (2018) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2017.2784180 · Cited by 859
Machine Learning: A Bayesian and Optimization Perspective
Theodoridis, S. (2015) · Cited by 524
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Park, J., Samarakoon, S., Bennis, M., & Debbah, M. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2941458 · Cited by 92
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Plata-Chaves, J., Bertrand, A., Moonen, M., Theodoridis, S., & Zoubir, A. M. (2017) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2017.2676468 · Cited by 59
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Mazaheri, M. H., Ameli, S., Abedi, A., & Abari, O. (2019) · ACM Special Interest Group on Data Communication · doi:10.1145/3341302.3342068 · Cited by 39
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Shang, S., Zedini, E., & Alouini, M. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3504359 · Cited by 15
Aibin, M., & Walkowiak, K. M. (2020) · Journal of Network and Systems Management · doi:10.1007/s10922-020-09555-8 · Cited by 15
6G Is Coming : Discussion on Key Candidate Technologies and Application Scenarios
Yizhan, C., Zhong, W., Da, H., & Ruosen, L. (2020) · International Conference on Computer Communication and Network Security (CCNS) · doi:10.1109/ccns50731.2020.00022 · Cited by 15
The Role of Optical Transport Networks in 6G and Beyond: A Vision and Call to Action
Manias, D. M., Javadtalab, A., Naoum‐Sawaya, J., & Shami, A. A. (2023) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan12030043 · Cited by 15
Metadata
- 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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