Network Slicing for Future Wireless Communication: Theory and Application (Wireless Networks)

✍ Scribed by Wanqing Guan, Haijun Zhang

• Publisher: Springer
• Year: 2024
• Tongue: English
• Leaves: 122
• Edition: 2024
• Category: Library

✦ Synopsis

This book comprehensively discusses the development, application and challenges of network slicing technology in wireless communications. Starting with the basic concept and enabling technologies of network slicing, this book introduces how to integrate AI (Artificial Intelligence) technology into the end-to-end deployment, resource allocation and performance enhancement for multi-tenant slicing. An in-depth exploration of managing multi-domain slices deployed in the federated infrastructure networks is presented, including on-demand cooperation among multiple infrastructure networks, distinct slice deployment, hierarchical slice orchestration and fast slice adaption. As a guide to leveraging AI to enhance traffic performance of multi-tenant slicing and customize resource slicing for industrial scenarios, this book provides insights, modeling, applications and research issues. A holistic perspective on prominent role of network slicing in managing wireless network resources is provided as well.

Overall, network slicing as a key technology of wireless networks, enables to satisfy differentiated service demands of multiple tenants from vertical industries with the same shared physical infrastructure network. As future wireless networks are expected to facilitate the evolution of vertical industries, various vertical enterprises as tenants require an intelligent network slicing paradigm to provide highly customizable services. AI-based management system for network slicing excel at deploying slices rapidly, allocating resources efficiently and avoiding service quality degradation. With the increasing diversity of service demands and complexity of communication environment, incorporating AI into network slicing is a necessity for improving flexibility and automation of resource management.

This book targets advanced-level students in information and communication sciences as a secondary textbook. Researchers and industry professionals working in various areas, such as wireless communication systems, network management and orchestration, resource allocation and AI-enabled wireless networks will also find this book useful as reference book.

✦ Table of Contents

Contents
Acronyms
1 Introduction
1.1 Development of Network Slicing
1.2 Basic Concept and Technologies
1.2.1 Enabling Technologies of Network Slicing
1.2.2 Implementation of Network Slicing
1.3 Demand for Future Development
1.3.1 Multi-Dimensional Resource Management for Multi-InPs
1.3.2 Dynamic Orchestration for Multi-Tenant Slicing
References
2 Efficient Management of Physical Infrastructure Networks
2.1 Cooperation Among Multiple Infrastructure Operators
2.1.1 Topological Characteristic Analysis
2.1.2 On-Demand Cooperation Strategy
2.2 Virtualization of Multi-Domain Infrastructures
2.2.1 Multi-Layer Complex Network Model
2.2.2 Mathematical Description of Infrastructure Networks
2.3 Federated Management Framework of Physical Resources
2.3.1 Multi-Domain Slice Management Model
2.3.2 Federated Infrastructure Management Framework
References
3 Intelligent Deployment and Orchestration of E2E Slices
3.1 Service-Oriented Slice Deployment Policy
3.1.1 The Deployment Model of E2E Slices
3.1.2 Distinct Slice Deployment Algorithms
3.2 Real-Time Slice Orchestration Framework
3.2.1 Hierarchical Slice Orchestration Architecture
3.2.2 AI-Enabled Slice Orchestration Mechanism
3.3 Fast Slice Reconfiguration Solution
3.3.1 A MRP Based Demand Prediction Model
3.3.2 A DRL Based Slice Reconfiguration Policy
3.3.2.1 State Space
3.3.2.2 Action Space
3.3.2.3 State Transition Probability
3.3.2.4 Reward Function
References
4 AI-Based Performance Enhancement for Multi-Tenant Slicing
4.1 New Business Model for Multi-Tenant Slicing
4.1.1 Resource Sharing Scenarios Among Tenants
4.1.2 Collaborative Business Model for Multiple Tenants
4.2 Traffic Performance Analysis of Multiple Isolated Slices
4.2.1 Traffic Model of Multiple Slice
4.2.2 Performance Analysis of Slice Traffic
4.3 Inter-Slice Resource Sharing and Competition
4.3.1 Control Strategy for Avoiding Resource Competition
4.3.2 Application of AI Techniques in Multi-Tenant Slicing
References
5 Customized Slicing for Industrial Applications
5.1 5G-Enabled New Industrial Scenarios
5.1.1 Use Case Requirements and Smart Industry
5.1.2 Standards and Techniques of IEEE TSN and 5G ULL
5.2 QoS-Aware Traffic Scheduling Toward New 5G Capabilities
5.2.1 Technical Directions of 5G TSN Integration
5.2.2 QoS-Aware Traffic Scheduling in Network Slicing
5.3 Customized RAN Slicing for 5G-TSN Integration
5.3.1 Deterministic Transmission in 5G-TSN
5.3.2 AI-Enabled Resource Slicing for 5G-TSN
References
6 Conclusion and Future Works
6.1 Conclusions
6.2 Future Work
References