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Intelligent Resource Management for Network Slicing in 5G and Beyond

Über Intelligent Resource Management for Network Slicing in 5G and Beyond

This book provides a timely and comprehensive study of developing efficient network slicing frameworks in both 5G wireless and core networks. It also presents protocol stack layer perspectives, which includes virtual network topology design, end-to-end delay modeling, dynamic resource slicing, and link-layer and transport-layer protocol customization. This book provides basic principles, concepts and technologies for communication, computing and networking. Optimization and queueing analysis techniques are applied to solving different problems for network slicing illustrated in this book as well. Researchers working in the area of network slicing in 5G networks and beyond, and advanced-level students majoring in electrical engineering, computer engineering and computer science will find this book useful as a reference or secondary textbook. Professionals in industry seeking solutions to resource management for 5G networks and beyond will also want to purchase thisbook.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783030886684
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 208
  • Veröffentlicht:
  • 4. Dezember 2022
  • Ausgabe:
  • 22001
  • Abmessungen:
  • 155x12x235 mm.
  • Gewicht:
  • 324 g.
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Beschreibung von Intelligent Resource Management for Network Slicing in 5G and Beyond

This book provides a timely and comprehensive study of developing efficient network slicing frameworks in both 5G wireless and core networks. It also presents protocol stack layer perspectives, which includes virtual network topology design, end-to-end delay modeling, dynamic resource slicing, and link-layer and transport-layer protocol customization.
This book provides basic principles, concepts and technologies for communication, computing and networking. Optimization and queueing analysis techniques are applied to solving different problems for network slicing illustrated in this book as well.
Researchers working in the area of network slicing in 5G networks and beyond, and advanced-level students majoring in electrical engineering, computer engineering and computer science will find this book useful as a reference or secondary textbook. Professionals in industry seeking solutions to resource management for 5G networks and beyond will also want to purchase thisbook.

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