Guoming Tang

The 5G technology has been commercialized worldwide and is expected to provide superior performance with enhanced mobile broadband, ultra-low latency transmission, and massive IoT connections. Meanwhile, the edge computing paradigm gets popular to provide distributed computing and storage resources in proximity to the users. As edge services and applications prosper, 5G and edge computing will be tightly coupled and continuously promote each other forward. Embracing this trend, however, mobile users, infrastructure providers, and service providers are all faced with the energy dilemma. On the user side, battery-powered mobile devices are much constrained by battery life, whereas mobile platforms and apps nowadays are usually power-hungry. At the infrastructure and service provider side, the energy cost of edge facilities accounts for a large proportion of operating expenses and has become a huge burden. This book provides a collection of most recent attempts to tackle the energy issues in mobile edge computing from new and promising perspectives. For example, the book investigates the pervasive low-battery anxiety among modern mobile users and quantifies the anxiety degree and likely behavior concerning the battery status. Based on the quantified model, a low-power video streaming solution is developed accordingly to save mobile devices' energy and alleviate users' low-battery anxiety. In addition to energy management for mobile users, the book also looks into potential opportunities to energy cost saving and carbon emission reduction at edge facilities, particularly the 5G base stations and geo-distributed edge datacenters.

GreenEdge

Kien Nguyen

Seng W. Loke

Zhi Liu

Zhen Ling

This book constitutes the refereed post-conference proceedings of the 10th International Conference on Mobile Networks and Management, MONAMI 2020, held in Chiba, Japan, in November 2020. The conference was held virtually due to the COVID-19 pandemic.The 19 full papers were carefully reviewed and selected from 41 submissions. The papers are divided into groups of content as follows: Application of artificial intelligence for smart city; Advanced technology in edge computing; Recent advances in mobile communications and computing; Emerging technologies and applications in mobile networks and management.

Guoming Tang

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