Abstract
This chapter is devoted to the overview of the challenges for 5G and Beyond Mobile Radio Networks (efficient structures, attractive applications, cost reducing, billing and security). New mobile network technologies, like 6G and Satellite-based Internet Starlink play a steady growing role.
The following aspects are examined:
-
1)
Motivation and State-of-the-Art, 5G development features: cellular structures, interoperability to Wi-Fi, WSN, LoRA WAN, IoT;
-
2)
Advanced security and Blockchained applications;
-
3)
Blockchain opportunities and challenges for 5G Beyond and Beyond;
-
4)
New generation mobile nets: Starlink, the new Satellite-based Internet;
-
5)
Sixth Generation for Mobile Radio Networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
5G Whitepaper of Vodafone (Online): https://www.vodafone.de/media/downloads/pdf/5G_Whitepaper.
5G Suisscom (Online): https://www.swisscom.ch/de/about/unternehmen/portraet/netz/5g.html.
IEEE 5G World Forum in Dresden (Online): https://ieee-wf-5g.org/.
G.Fettweis, N. Franchi. Flächendeckende Versorgung mit 5G-Mobilfunk in Deutschland (Online): https://5glab.de/wp-content/uploads/2018-10-22_Diskussionspapier_5GLab_final.pdf.
Luntovskyy, Andriy, Gütter, Dietbert. Moderne Rechnernetze - Übungsbuch: Aufgaben und Musterlösungen zu Protokollen, Standards und Apps in kombinierten Netzwerken, 150 Seiten, 44 Abb., Springer Nature, Juli 2020, ISBN: 9783658256180 (https://www.springer.com/gp/book/9783658256180).
What is Microsoft Wi-Fi, and Will it Matter To You? (Online): https://www.howtogeek.com/222876/what-is-microsoft-wi-fi-and-will-it-matter-to-you/.
DIDO Technology (Online): http://www.rearden.com.
pCell Wireless White Paper (Online): https://www.artemis.com/.
Luntovskyy, M. Klymash. A Perspective Resource Allocation Method for Future WLAN, Int. Research Journal Telecommunication Sciences, Kiev, 2017.
L.Globa, V. Prokopets, N. Gvozdetska. Prognostic-Reactive NFV Resource Allocation Method for Implementation in Virtuali sed Mobile Network EPC of Ukraine, BlackSeaCom-2018, Batumi, Georgia, 8 p.
T. Maksymyuk, L. Han, S. Larionov, B. Shubyn, A. Luntovskyy, M. Klymash. Intelligent Spectrum Management in 5G Mobile Networks based on Recurrent Neural Networks, IEEE CADSM 2019, IEEE Xplore: https://ieeexplore.ieee.org/document/8779301.
P. Porambage, Y. Michey, A. Kalliolay, M. Liyanagez, M. Ylianttila. Secure Keying Scheme for Network Slicing in 5G Architecture, 6p. (Online): https://www.researchgate.net/publication/335716113/.
Yueyue Dai, Du Xu, Sabita Maharjan, Zhuang Chen, Qian He, and Yan Zhang. Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond, by Intelligent Network Assisted by Cognitive Computing and Machine Learning, 2019, 10p.
Tesla: Electro Cars, Solar Systems and Clean Energy (Online): https://www.tesla.com/.
Starlink (Online): https://www.starlink.com/.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Luntovskyy, A., Gütter, D. (2022). 5G Networks Deployment and Service Modeling. New Generation Networks. 5G and Beyond. In: Highly-Distributed Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-92829-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-92829-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-92828-5
Online ISBN: 978-3-030-92829-2
eBook Packages: EngineeringEngineering (R0)