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Faster-than-Nyquist Spatiotemporal Symbol-level Precoding in the Downlink of Multiuser MISO Channels
Alodeh, Maha; Spano, Danilo; Chatzinotas, Symeon et al.
2017In The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Peer reviewed
 

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Disciplines :
Electrical & electronics engineering
Author, co-author :
Alodeh, Maha ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Spano, Danilo ;  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 :
no
Language :
English
Title :
Faster-than-Nyquist Spatiotemporal Symbol-level Precoding in the Downlink of Multiuser MISO Channels
Publication date :
March 2017
Event name :
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Event date :
From 5-3-2017 to 9-3-2017
Audience :
International
Main work title :
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 645047 - SANSA - Shared Access Terrestrial-Satellite Backhaul Network enabled by Smart Antennas
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 01 April 2017

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