Machine Learning based Antenna Selection and Power Allocation in Multi-user MISO Systems

VU, Thang Xuan; LEI, Lei; CHATZINOTAS, Symeon; OTTERSTEN, Björn

Paper published in a book (Scientific congresses, symposiums and conference proceedings)

VU, Thang Xuan; LEI, Lei; CHATZINOTAS, Symeon et al.

2019 • In 2019 IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

Peer reviewed

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https://hdl.handle.net/10993/41131

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Disciplines :

Electrical & electronics engineering

Author, co-author :

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

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

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)

External co-authors :

Language :

English

Title :

Machine Learning based Antenna Selection and Power Allocation in Multi-user MISO Systems

Publication date :

June 2019

Event name :

2019 IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

Event date :

06-19

Main work title :

2019 IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

Peer reviewed :

Peer reviewed

European Projects :

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

FnR Project :

FNR11691338 - Proactive Edge Caching For Content Delivery Networks Powered By Hybrid Satellite/Terrestrial Backhauling, 2017 (01/07/2018-31/12/2021) - Bjorn Ottersten

Funders :

CE - Commission Européenne
European Union

Available on ORBilu :

since 03 December 2019

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Bibliography

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