Title :

On the Performance of Sliding Window TD-LMMSE Channel Estimation for 5G Waveforms in High Mobility Scenario

Author(s) :

Saideh, Michel [Auteur]
Département Composants et Systèmes [IFSTTAR/COSYS]
Berbineau, Marion [Auteur]
Département Composants et Systèmes [IFSTTAR/COSYS]
Dayoub, Iyad [Auteur]
INSA Institut National des Sciences Appliquées Hauts-de-France [INSA Hauts-De-France]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]

Journal title :

IEEE Transactions on Vehicular Technology

Pages :

8974-8977

Publisher :

Institute of Electrical and Electronics Engineers

Publication date :

2018-09

ISSN :

0018-9545

Keyword(s) :

TRAITEMENT DU SIGNAL
TELECOMMUNICATION
TECHNOLOGIE SANS FIL
ONDE
TRANSPORT FERROVIAIRE
SIMULATION

English keyword(s) :

5G
FBMC
LMMSE
CHANNEL ESTIMATION

HAL domain(s) :

Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique

English abstract : [en]

The upcoming 5G era is considered as a critical answer to future railway communication needs. In this work, we analyze the performance of sliding window time domain LMMSE channel estimation technique where a generalized ...
Show more >The upcoming 5G era is considered as a critical answer to future railway communication needs. In this work, we analyze the performance of sliding window time domain LMMSE channel estimation technique where a generalized development is proposed and analyzed for 5G FBMC-(O)QAM waveform candidates. In order to enhance performance, the analytical model is extended to exploit multipaths and multiantennas correlation wherever they do exist e.g., tunnels. TD-LMMSE performance for 5G waveforms and achieved enhancements are verified by Monte Carlo simulations.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Non spécifiée

Popular science :

Non

Comment :

JIF=5.339

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL