Intelligent Resource Management for Network Slicing in 5G and Beyond

This book provides a comprehensive study of developing efficient network slicing frameworks in 5G wireless and core networks, with a focus on protocol stack layer perspectives and optimization and queueing analysis techniques. It is useful for researchers, advanced-level students, and professionals in industry seeking solutions to resource management in 5G networks.

Format: Paperback / softback
Length: 195 pages
Publication date: 04 December 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the development of efficient network slicing frameworks in both 5G wireless and core networks, offering a timely and insightful exploration of this critical topic. It provides a comprehensive protocol stack layer perspective, encompassing virtual network topology design, end-to-end delay modeling, dynamic resource slicing, and link-layer and transport-layer protocol customization. By presenting these key aspects, the book equips readers with the necessary knowledge and tools to navigate the complexities of network slicing.

Furthermore, the book extends its reach by incorporating optimization and queueing analysis techniques, which are applied to solve diverse problems related to network slicing. These problems are showcased through real-world examples and case studies, making the content accessible and applicable to researchers, advanced-level students, and professionals in the field of network slicing.

Whether you are a researcher working on cutting-edge technologies in 5G networks or a professional seeking solutions to resource management challenges, this book serves as a valuable reference or secondary textbook. Its comprehensive coverage, practical insights, and up-to-date information make it an essential resource for anyone interested in advancing the field of network slicing.

Weight: 326g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030886684
Edition number: 1st ed. 2021