2637746
doi
10.1109/COMST.2017.2694140
oai:zenodo.org:2637746
user-eu
Cesana, Matteo
Hosseini
S. Amir
Liao, Qi
Malanchini, Ilaria
Widmer, Joerg
IMDEA Networks
A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques
Bui, Nicola
IMDEA Networks
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Anticipatory
Prediction
Optimization
5G
Mobile Networks
<p>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</p>
Zenodo
2017-04-19
info:eu-repo/semantics/article
2637745
user-eu
award_title=Measuring Mobile Broadband Networks in Europe; award_number=644399; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/644399; funder_id=00k4n6c32; funder_name=European Commission;
1579532627.261992
3132679
md5:4279af06bc2d1cfd97120217ecb335d7
https://zenodo.org/records/2637746/files/A survey of anticipatory mobile networking.pdf
public
IEEE Communications Surveys & Tutorials
19
3
2017-04-19