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A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques

Bui, Nicola and Cesana, Matteo and Hosseini, S. Amir and Liao, Qi and Malanchini, Ilaria and Widmer, Joerg (2017) A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques. [Journal Articles] (Accepted for publication)

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Abstract

A growing trend for information technology is to not just react to changes, but anticipate them as much as possible. This paradigm made modern solutions, such as recommendation systems, a ubiquitous presence in today’s digital transactions. Anticipatory networking extends the idea to communication technologies by studying patterns and periodicity in human behavior and network dynamics to optimize network performance. This survey collects and analyzes recent papers leveraging context information to forecast the evolution of network conditions and, in turn, to improve network performance. In particular, we identify the main prediction and optimization tools adopted in this body of work and link them with objectives and constraints of the typical applications and scenarios. Finally, we consider open challenges and research directions to make anticipatory networking part of next generation networks.

Item Type: Journal Articles
Uncontrolled Keywords: Anticipatory, Prediction, Optimization, 5G, Mobile Networks.
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Nicola Bui
Date Deposited: 19 Apr 2017 06:46
Last Modified: 21 Apr 2017 11:17
URI: http://eprints.networks.imdea.org/id/eprint/1577

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