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.

Autorentext

Qiang Ye received the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada, in 2016. From December 2016 to September 2019, he was a Postdoctoral Fellow and a Research Associate with the Department of Electrical and Computer Engineering, University of Waterloo. Since September 2019, he has been an Assistant Professor with the Department of Electrical and Computer Engineering and Technology, Minnesota State University, Mankato, MN, USA. His research interests include network slicing for 5G networks, edge intelligence for autonomous vehicular networks, artificial intelligence for future networking, protocol design, and performance analysis for the Internet of Things. He was a Technical Program Committee (TPC) Members for several international conferences, including the IEEE GLOBECOM'20, VTC'17, VTC'20, and ICPADS'20. He is an editor of the International Journal of Distributed Sensor Networks (SAGE Publishing) and Wireless Networks (SpringerNature), and an Area Editor of the Encyclopedia of Wireless Networks (SpringerNature).Weihua Zhuang received the Ph.D. degree in electrical engineering in 1993 from the University of New Brunswick, Canada. She has been with the Department of Electrical and Computer Engineering, University of Waterloo, Canada, since 1993, where she is a University Professor and a Tier I Canada Research Chair in Wireless Communication Networks. Dr. Zhuang was a recipient of the 2021 Women's Distinguished Career Award from the IEEE Vehicular Technology Society, 2021 R. A. Fessenden Award from the IEEE Canada, 2017 Technical Recognition Award in Ad Hoc and Sensor Networks from the IEEE Communications Society, and a co-recipient of several Best Paper Awards from international conferences. She was the Editor-in-Chief of the IEEE Transactions on Vehicular Technology from 2007 to 2013, Technical Program Chair/Co-Chair of IEEE VTC 2017/2016 Fall, and Technical Program Symposia Chair of IEEE Globecom 2011. She is an elected member of the Board of Governors and Vice President for Publications of the IEEE Vehicular Technology Society. She was an IEEE Communications Society Distinguished Lecturer from 2008 to 2011. Dr. Zhuang is a Fellow of the IEEE, Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada.

Inhalt

Tentative table of contents:

Chapter 1 Introduction

1.1 5G Networks

1.1.1 Internet of Things Era

1.1.2 5G Wireless Networks

1.1.3 5G Core Networks

1.2 Resource Management in 5G Networks

1.2.1 Network Slicing

1.2.2 Virtual Network Topology

1.2.3 Resource Slicing

1.2.4 Customized Protocol

1.3 Summary

Chapter 2 Virtual Network Topology and Delay Modeling

2.1 Service Function Chaining

2.2 Multi-Service Virtual Network Customization

2.3 End-to-End Delay Modeling for Embedded Service Function Chains

2.3.1 Bi-Resource Sharing

2.3.2 End-to-End Delay Analysis

2.3.3 Simulation Results

2.4 Summary

Chapter 3 Dynamic Resource Slicing for Service Provisioning

3.1 End-to-End Resource Slicing Framework

3.2 Hierarchical Soft RAN Slicing for 5G Wireless Networks

3.2.1 Dynamic Radio Bandwidth Slicing

3.3 Dynamic Traffic Flow Migration for 5G Core Networks

3.4 Summary

Chapter 4 Transport-Layer Protocol Customization for Core Networks

4.1 SDN/NFV-Based Transmission Protocol Design

4.2 Transport-Layer Protocol Customization for Time-Critical Services

4.3 Transport-Layer Protocol Customization for Video-Streaming Services

4.4 Summary

Chapter 5 Adaptive Medium Access Control Protocols for Wireless Networks

5.1 Traffic-Load-Adaptive Medium Access Control

5.2 Distributed and Service-Oriented Medium Access Control

5.3 Adaptive Medium Access Control for a Two-Hop Wireless Network

5.2 Performance Evaluation

5.5 Summary

Chapter 6 Conclusion and Future Works

6.1 Learning-Based Resource Slicing for Beyond 5G Networks

6.2 Learning-Based Protocol Automation for Beyond 5G Networks

Conclusions