Learning-Assisted Optimization for Energy-Efficient Scheduling in Deadline-Aware NOMA Systems

Lei, Lei; You, Lei; He, Qing; Vu, Thang Xuan; Chatzinotas, Symeon; Yuan, Di; Ottersten, Björn

doi:10.1109/TGCN.2019.2902838

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Article (Scientific journals)

Learning-Assisted Optimization for Energy-Efficient Scheduling in Deadline-Aware NOMA Systems

Lei, Lei; You, Lei; He, Qing et al.

2019 • In IEEE Transactions on Green Communications and Networking

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/10993/41126

DOI
10.1109/TGCN.2019.2902838

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Disciplines :

Computer science

Author, co-author :

Lei, Lei ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

You, Lei; Uppsala University

He, Qing; KTH Royal Institute of Technology

Vu, Thang Xuan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Chatzinotas, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Yuan, Di; Uppsala University

Ottersten, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

External co-authors :

yes

Language :

English

Title :

Learning-Assisted Optimization for Energy-Efficient Scheduling in Deadline-Aware NOMA Systems

Publication date :

September 2019

Journal title :

IEEE Transactions on Green Communications and Networking

ISSN :

2473-2400

Publisher :

Institute of Electrical and Electronics Engineers (IEEE)

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Computational Sciences

European Projects :

H2020 - 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems

FnR Project :

FNR11632107 - Resource Optimization For Integrated Satellite-5g Networks With Non-orthogonal Multiple Access, 2017 (01/09/2018-31/08/2021) - Lei Lei

Funders :

CE - Commission Européenne [BE]

Available on ORBilu :

since 03 December 2019

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