Reference : Machine Learning based Antenna Selection and Power Allocation in Multi-user MISO Systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/41131
Machine Learning based Antenna Selection and Power Allocation in Multi-user MISO Systems
English
Vu, Thang Xuan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Lei, Lei mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Jun-2019
2019 IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
Yes
2019 IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
06-19
http://hdl.handle.net/10993/41131
H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR ; FNR11691338 > Bjorn Ottersten > ProCAST > Proactive Edge Caching for Content Delivery Networks powered by Hybrid Satellite/Terrestrial Backhauling > 01/07/2018 > 30/06/2021 > 2017; ROSETTA

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
Machine Learning based Antenna Selection and Power Allocation in Multi-user MISO Systems'.pdfPublisher postprint285.5 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.