A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks

Reference : A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/44600

Title :	A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks
Language :	English
Author, co-author :	Mehrizi Rahmat Abadi, Sajad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Tsakmalis, Anestis []
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2019
Journal title :	IEEE
Peer reviewed :	Yes
Event name :	IEEE Wireless Communications and Networking Conference (WCNC)
Event date :	15-18 April 2019
Funders :	Fonds National de la Recherche - FnR
Permalink :	http://hdl.handle.net/10993/44600
FnR project :	FnR ; FNR11826975 > Sajad Mehrizi > > online Learning for edge-caching In hybrid Satellite-Terrestrial Networks > 01/09/2017 > 31/08/2021 > 2017

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