Mobile Edge Computing and Communications: Driving Forces, Technology Foundation, and Application Areas

An up-to-dated and comprehensive guide to mobile edge computing and communications

Mobile Edge Computing and Communications offers a practical guide to mobile edge computing and communications (MEC). With contributions from noted experts on the topic, the book covers the design, deployment, and operational aspects of this rapidly growing domain. The text provides the information needed to understand the mainstream system architectures and integration methods that have been proposed in MEC. In addition, the book clearly illustrates critical lifecycle functions and stages of MEC, and shows how to deploy MEC in 5G and beyond mobile networks.

Comprehensive in scope, the book contains discussions on the challenges and opportunities of mobile edge computing and communications’ concepts combined with the most relevant emerging applications and services. The authors provide insights for all relative stakeholders of mobile networks such mobile network operators. This important book:

• Offers the first book to provide a comprehensive walkthrough of mobile edge computing and communications
• Includes detailed analysis of current edge applications and technology foundation
• Presents information on driving forces and future directions of MEC
• Provides an authentic source of information from industry experts to drive the future of computing

Written for mobile network operators, ICT service developers, academic researchers, undergraduate and graduate students, Mobile Edge Computing and Communications offers a guide to the current and future of MEC that will enable a completely new paradigm for future computing and communications.

Aaron Yi Ding, PhD, leads the Cyber-Physical Intelligence Lab as a Tenured Faculty of TU Delft and Associate Professor (Docent) in Computer Science at the University of Helsinki. He received his PhD degree from the Department of Computer Science (Birthplace of Linux) at the University of Helsinki and his research focuses on Edge AI solutions for cyber-physical systems in smart health, mobility and energy domains. He is an Associate Editor for ACM Transactions on Internet of Things (TIOT), IEEE OJ-ITS and Multimodal Technologies and Interaction.

Madhusanka Liyanage, PhD, is Assistant Professor/Ad Astra Fellow at the School of Computer Science in University College Dublin, Ireland. He is acting as a Docent/Adjunct Professor at the Center for Wireless Communications, University of Oulu, Finland. He received the Doctor of Technology degree in communication engineering from the University of Oulu, Oulu, Finland, in 2016. He is also a Senior Member of IEEE, and received the 2020 IEEE ComSoc Outstanding Young Researcher award by IEEE ComSoc EMEA.