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

LEI, Lei; VU, Thang Xuan; You, Lei; Fowler, Scott; Yuan, Di

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

LEI, Lei; VU, Thang Xuan; You, Lei et al.

2018 • In 2018 IEEE International Conference on Communications (ICC)

Peer reviewed

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https://hdl.handle.net/10993/36625

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Disciplines :

Computer science

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

External co-authors :

yes

Language :

English

Title :

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

Publication date :

July 2018

Event name :

2018 IEEE International Conference on Communications (ICC)

Event place :

Kansas City, United States

Event date :

20-24 May 2018

Audience :

International

Main work title :

2018 IEEE International Conference on Communications (ICC)

Peer reviewed :

Peer reviewed

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 :

FNR - Fonds National de la Recherche
CE - Commission Européenne
European Union

Available on ORBilu :

since 19 September 2018

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Bibliography

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