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Optimized Link Adaptation for DVB-S2X Precoded Waveforms based on SNIR Estimation
ANDRENACCI, Stefano; SPANO, Danilo; Christopoulos, Dimitrios et al.
2016In Asilomar Conference on Signals, Systems, and Computers 2016
Peer reviewed
 

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Abstract :
[en] The present work deals with optimized strategies to address the issue of link adaptation (Adaptive Coding and Modulation - ACM) in a multi-user multi-beam satellite system employing precoding at the gateway side. Accordingly, the focus is on the forward link of a multi-beam satellite system employing a full frequency reuse configuration. In such an interference limited setting, the Super-Framing structure of DVB-S2X air interface (format specification 2 and 3) enables the use of precoding techniques. The aim herein is to investigate the Signal-to-Noise-plus- Interference (SNIR) estimation error given by the User Terminals (UTs) through the so-called P2 pilots is taken into account to optimize the ACM margins.
Disciplines :
Electrical & electronics engineering
Author, co-author :
ANDRENACCI, Stefano ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
SPANO, Danilo ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Christopoulos, Dimitrios;  Newtec Cy, Sint-Niklaas, Belgium
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Krause, Jens;  SES S.A., Chateau de Betzdorf, Luxembourg
OTTERSTEN, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Optimized Link Adaptation for DVB-S2X Precoded Waveforms based on SNIR Estimation
Publication date :
2016
Event name :
Asilomar Conference on Signals, Systems, and Computers 2016
Event organizer :
IEEE
Event place :
Pacific Grove (CA), United States
Event date :
From 06-11-2016 to 09-11-2016
Audience :
International
Main work title :
Asilomar Conference on Signals, Systems, and Computers 2016
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 12 January 2017

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