Mobile Edge Computing
This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks. The book starts with the basic concepts, key technique...
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Cham :
Springer International Publishing AG
2021.
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| Series: | Simula SpringerBriefs on Computing
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654221206719 |
Table of Contents:
- Intro
- Preface
- Acknowledgements
- Contents
- Acronyms
- 1 Introduction
- 1.1 Mobile Cloud Computing (MCC)
- 1.2 Overview of MEC
- 1.3 Book Organization
- 2 Mobile Edge Computing
- 2.1 A Hierarchical Architecture of Mobile Edge Computing (MEC)
- 2.2 Computation Model
- 2.2.1 Computation Model of Local Execution
- 2.2.2 Computation Model of Full Offloading
- 2.2.3 A Computation Model for Partial Offloading
- 2.3 Offloading Policy
- 2.3.1 Binary Offloading
- 2.3.2 Partial Offloading
- 2.4 Challenges and Future Directions
- 3 Mobile Edge Caching
- 3.1 Introduction
- 3.2 The Architecture of Mobile Edge Caching
- 3.3 Caching Performance Metrics
- 3.3.1 Hit Rate Ratio
- 3.3.2 Content Acquisition Latency
- 3.3.3 Quality of Experience (QoE)
- 3.3.4 Caching System Utility
- 3.4 Caching Service Design and Data Scheduling Mechanisms
- 3.4.1 Edge Caching Based on Network Infrastructure Services
- 3.4.2 Edge Caching Based on D2D Services
- 3.4.3 Hybrid Service-Enabled Edge Caching
- 3.5 Case Study: Deep Reinforcement Learning-Empowered …
- 3.5.1 System Model
- 3.5.2 Problem Formulation and a DDPG-Based Optimal Content Dispatch Scheme
- 3.5.3 Numerical Results
- 4 Mobile Edge Computing for Beyond 5G/6G
- 4.1 Fundamental Characteristics of 6G
- 4.2 Integrating Mobile Edge Computing (MEC) …
- 4.2.1 Use Cases of Integrating MEC into 6G
- 4.2.2 Applications of Integrating MEC into 6G
- 4.2.3 Challenges of Integrating MEC into 6G
- 4.3 Case Study: MEC-Empowered Edge Model Sharing for 6G
- 4.3.1 Sharing at the Edge: From Data to Model
- 4.3.2 Architecture of Edge Model Sharing
- 4.3.3 Processes of Edge Model Sharing
- 5 Mobile Edge Computing for the Internet of Vehicles
- 5.1 Introduction
- 5.2 Challenges in VEC
- 5.3 Architecture of VEC
- 5.4 Key Techniques of VEC
- 5.4.1 Task Offloading
- 5.4.2 Heterogeneous Edge Server Cooperation
- 5.4.3 AI-Empowered VEC
- 5.5 A Case Study
- 5.5.1 Predictive Task Offloading for Fast-Moving Vehicles
- 5.5.2 Deep Q-Learning for Vehicular Computation Offloading
- 6 Mobile Edge Computing for UAVs
- 6.1 Unmanned Aerial Vehicle-Assisted Mobile Edge Computing (MEC) Networks
- 6.2 Joint Trajectory and Resource Optimization in UAV-Assisted MEC Networks
- 6.2.1 Resource Allocation and Optimization in the Scenario of a UAV Exploiting MEC Computing Capabilities
- 6.2.2 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Computing Server
- 6.2.3 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Relay for Computation Offloading
- 6.3 Case Study: UAV Deployment and Resource Optimization for MEC at a Wind Farm
- 6.3.1 UAV Deployment for MEC at a Wind Farm
- 6.3.2 Joint Trajectory and Resource Optimization of UAV-Aided MEC at a Wind Farm
- 6.4 Conclusions
- 7 The Future of Mobile Edge Computing
- 7.1 The Integration of Blockchain and Mobile Edge Computing (MEC)
- 7.1.1 The Blockchain Structure
- 7.1.2 Blockchain Classification
