Intelligent Resource Management in Vehicular Networks (Wireless Networks)

✍ Scribed by Haixia Peng, Qiang Ye, Xuemin Sherman Shen

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 163
• Category: Library

✦ Synopsis

This book provides a comprehensive investigation on new technologies for future vehicular networks. The authors propose different schemes to efficiently manage the multi-dimensional resources for supporting diversified applications. The authors answer the questions of why connected and automated vehicle technology should be considered; how the multi-access edge computing (MEC) and unmanned aerial vehicle (UAV) technologies can be helpful to vehicular networks; how to efficiently manage the multi-dimensional resources to support different vehicular applications with guaranteed quality-of-service (QoS) requirements; and how to adopt optimization and AI technologies to achieve resource management in vehicular networks. The book is pertinent to researchers, professionals, academics and students in vehicular technologies.

✦ Table of Contents

Preface
Contents
Acronyms
1 Introduction
1.1 Overview of Vehicular Networks
1.1.1 Vehicular Network Applications
1.1.2 Vehicular Network Characteristics
1.1.3 Vehicular Network Classifications
1.1.4 Overview of Vehicular Communication Technologies
1.2 Challenges in Vehicular Networks
1.2.1 Vehicular Information Sharing
1.2.2 Task Computing
1.3 Resource Management in Vehicular Networks
1.3.1 Spectrum Resource Management
1.3.2 Computing Resource Management
1.3.3 Intelligent Multi-Resource Management
1.3.3.1 Methodology
1.4 Aim of the Monograph
1.5 Summary
References
2 MEC-Assisted Vehicular Networking
2.1 MEC-Assisted ADVNET Architecture
2.1.1 Problem Statement
2.1.2 Architecture Design
2.2 SDN-Enabled Resource Management
2.2.1 Computing and Storage Resource Management
2.2.2 Spectrum Management
2.2.3 Open Research Issues
2.3 Aerial-Assisted Vehicular Network: Case Study
2.3.1 A Drone-Assisted MVNET Architecture
2.3.2 Intelligent Resource Management
2.3.3 Case Study
2.4 Summary
References
3 Spectrum Slicing in MEC-Assisted ADVNETs
3.1 System Model
3.1.1 Dynamic Slicing Framework
3.1.2 Communication Model
3.2 Resource Management Scheme
3.2.1 Network-Level Spectrum Reservation
3.2.2 Vehicle-Level Spectrum Reservation
3.2.3 Transmit Power Control
3.3 Problem Analysis and Suboptimal Solution
3.3.1 Problem Analysis
3.3.2 Algorithm Design
3.4 Simulation Results
3.5 Summary
References
4 Intelligent Multi-Dimensional Resource Allocation in MVNETs
4.1 System Model
4.1.1 Spectrum, Computing, and Caching Allocation
4.2 Problem Formulation and Transformation
4.2.1 Problem Formulation
4.2.2 Problem Transformation with DRL
4.3 DDPG Algorithm Based Solution
4.3.1 DDPG-Based Algorithm
4.3.2 HDDPG-Based Algorithm
4.4 Simulation Results and Analysis
4.5 Summary
References
5 Aerial-Assisted Intelligent Resource Allocation
5.1 System Model and Problem Formulation
5.1.1 UAV-Assisted MVNET
5.1.2 Resource Reservation Models
5.1.3 Problem Formulation
5.2 Centralized/Distributed Multi-Dimensional ResourceManagement
5.2.1 Problem Transformation
5.2.2 SADDPG/MADDPG-Based Solutions
5.3 Simulation Results
5.3.1 Performance Evaluation for the SADDPG-Based Scheme
5.3.2 Performance Evaluation for the MADDPG-BasedScheme
5.4 Summary
References
6 Conclusions and Future Research Directions
6.1 Conclusions
6.2 Future Research Directions
References
Index