img Leseprobe Leseprobe

Network Slicing for 5G and Beyond Networks

Latif U. Khan, S. M. Ahsan Kazmi, Choong Seon Hong, et al.

PDF
ca. 96,29 €
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

This book provides a comprehensive guide to the emerging field of network slicing and its importance to bringing novel 5G applications into fruition. The authors discuss the current trends, novel enabling technologies, and current challenges imposed on the cellular networks. Resource management aspects of network slicing are also discussed by summarizing and comparing traditional game theoretic and optimization based solutions. Finally, the book presents some use cases of network slicing and applications for vertical industries. Topics include 5G deliverables, Radio Access Network (RAN) resources, and Core Network (CN) resources. 

  • Discusses the 5G network requirements and the challenges therein and how network slicing offers a solution
  • Features the enabling technologies of future networks and how network slicing will play a role
  • Presents the role of machine learning and data analytics for future cellular networks along with summarizing the machine learning approaches for 5G and beyond networks

Weitere Titel von diesem Autor
Weitere Titel in dieser Kategorie

Kundenbewertungen

Schlagwörter

CN resources, network slicing technology, Mission critical applications for 5G, Resource management for 5G, Network slicing, Virtualized Networks, Optimized network resource utilization, RAN resources, Shared infrastructure, Machine learning approaches for 5G, multi-tenancy in 5G, Multiple networks