Intelligent Resource Management for Network Slicing in 5G and Beyond, 1st ed. 2021 Wireless Networks Series

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 this book.

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

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 IEE

Presents state-of-the-art knowledge and cutting-edge research outcomes on network slicing for 5G (and beyond) networks

Presents basic principles for communication, computing, and networking, and includes advanced algorithms for resource management.

Covers advanced algorithms/schemes/mechanisms for resource management