Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A Deep Learning Approach for Optimizing Content Delivering in Cache-Enabled HetNet
Lei, Lei; You, Lei; Dai, Gaoyang et al.
2017In IEEE International Symposium on Wireless Communication Systems (ISWCS), Bologna, Aug. 2017
Peer reviewed
 

Files


Full Text
ISWCS 2017.pdf
Author postprint (312.84 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Electrical & electronics engineering
Author, co-author :
Lei, Lei ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
You, Lei;  Uppsala University > Department of Information Technology
Dai, Gaoyang;  Uppsala University > Department of Information Technology
Vu, Thang Xuan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Yuan, Di;  Uppsala University > Department of Information Technology
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
A Deep Learning Approach for Optimizing Content Delivering in Cache-Enabled HetNet
Publication date :
31 August 2017
Event name :
IEEE International Symposium on Wireless Communication Systems (ISWCS)
Event place :
Bologna, Italy
Event date :
28-08-2017 to 31-08-2017
Audience :
International
Main work title :
IEEE International Symposium on Wireless Communication Systems (ISWCS), Bologna, Aug. 2017
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Name of the research project :
Actively Enhanced Cognition based Framework for Design of Complex Systems (AGNOSTIC)
Funders :
CER - Conseil Européen de la Recherche [BE]
Available on ORBilu :
since 17 August 2017

Statistics


Number of views
187 (18 by Unilu)
Number of downloads
1669 (22 by Unilu)

Scopus citations®
 
70
Scopus citations®
without self-citations
54

Bibliography


Similar publications



Contact ORBilu