Efficient Minimum-Energy Scheduling with Machine-Learning based Predictions for Multiuser MISO Systems

Reference : Efficient Minimum-Energy Scheduling with Machine-Learning based Predictions for Multi...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/36625

Title :	Efficient Minimum-Energy Scheduling with Machine-Learning based Predictions for Multiuser MISO Systems
Language :	English
Author, co-author :	Lei, Lei [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Vu, Thang Xuan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	You, Lei [Uppsala University, Sweden]
	Fowler, Scott [Linkoping University, Sweden]
	Yuan, Di [Uppsala University, Sweden]
Publication date :	Jul-2018
Main document title :	2018 IEEE International Conference on Communications (ICC)
Peer reviewed :	Yes
Audience :	International
Event name :	2018 IEEE International Conference on Communications (ICC)
Event date :	20-24 May 2018
Event place (city) :	Kansas City
Event country :	USA
Funders :	Fonds National de la Recherche - FnR ; European Commission - EC
Permalink :	http://hdl.handle.net/10993/36625
Framework Programme / European Project :	H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR project :	FnR ; FNR11632107 > Lei Lei > ROSETTA > Resource Optimization for Integrated Satellite-5G Networks with Non-Orthogonal Multiple Access > 01/09/2018 > 31/08/2021 > 2017

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