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Sequential spatio-temporal symbol-level precoding enabling faster-than-Nyquist signaling for multi-user MISO systems
Spano, Danilo; Chatzinotas, Symeon; Ottersten, Björn
2018In 2018 26th European Signal Processing Conference (EUSIPCO)
Peer reviewed
 

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Abstract :
[en] This paper addresses the problem of the interference between multiple co-channel transmissions in the downlink of a multi-antenna wireless system. In this context, symbol-level precoding achieves a constructive interference effect which results in SINR gains at the receivers side. Usually the constructive interference is exploited in the spatial dimension (multi-user interference), however in this work we consider a spatio-temporal precoding model which allows to exploit the interference also in the temporal dimension (inter-symbol interference). The proposed method, which optimizes the overs ampled transmit waveforms by minimizing the per-antenna transmit power, allows faster-than-Nyquist signaling over multi-user MISO systems without imposing additional complexity at the user terminals. The optimization is performed in a sequential fashion, by splitting the data streams in blocks and handling the inter-block interference. Numerical results are presented to assess the gains of the scheme in terms of effective rate and energy efficiency.
Disciplines :
Computer science
Author, co-author :
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 :
yes
Language :
English
Title :
Sequential spatio-temporal symbol-level precoding enabling faster-than-Nyquist signaling for multi-user MISO systems
Publication date :
2018
Event name :
2018 26th European Signal Processing Conference (EUSIPCO)
Event place :
Rome, Italy
Event date :
3-09-2018 to 7-09-2018
Audience :
International
Main work title :
2018 26th European Signal Processing Conference (EUSIPCO)
Publisher :
IEEE
ISBN/EAN :
978-9-0827-9701-5
Pages :
827-831
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
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