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ORCIDStéphane Paquelet
- > Home > Persons > Stéphane Paquelet
Publications
- 2024
[j10]Taha Yassine
, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet:
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. IEEE Trans. Wirel. Commun. 23(10): 14702-14714 (2024)- 2023
- [c24]Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou:
Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. ACSSC 2023: 1636-1640 - [i10]Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet:
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. CoRR abs/2310.03762 (2023) - [i9]Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou:
Model-based Deep Learning for Beam Prediction based on a Channel Chart. CoRR abs/2312.02239 (2023) - 2022
- [c21]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Channel charting based beamforming. IEEECONF 2022: 1185-1189 - [c20]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Deep Learning for Location Based Beamforming with Nlos Channels. ICASSP 2022: 8812-8816 - [c19]Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière:
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. SPAWC 2022: 1-5 - [i8]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Deep learning for location based beamforming with NLOS channels. CoRR abs/2201.01386 (2022) - [i7]Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière:
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. CoRR abs/2204.13996 (2022) - [i6]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Channel charting based beamforming. CoRR abs/2212.12340 (2022) - 2020
- [j7]Luc Le Magoarou, Stéphane Paquelet:
Channel Estimation: Unified View of Optimal Performance and Pilot Sequences. IEEE Trans. Signal Process. 68: 5588-5601 (2020) - 2019
- [j6]Samer Bazzi, Stelios Stefanatos, Luc Le Magoarou, Salah Eddine Hajri, Mohamad Assaad, Stéphane Paquelet, Gerhard Wunder, Wen Xu:
Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead. IEEE Access 7: 32434-32452 (2019) - [c15]Luc Le Magoarou, Antoine Le Calvez, Stéphane Paquelet:
Massive MIMO Channel Estimation taking into account spherical waves. SPAWC 2019: 1-5 - [i5]Luc Le Magoarou, Stéphane Paquelet:
Performance of MIMO channel estimation with a physical model. CoRR abs/1902.07031 (2019) - 2018
- [c11]Luc Le Magoarou, Stéphane Paquelet:
Parametric Channel Estimation for Massive MIMO. SSP 2018: 30-34 - [c10]Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière:
MIMO Channel Hardening for Ray-based Models. WiMob 2018: 1-7 - [i4]Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière:
MIMO Channel Hardening: A Physical Model based Analysis. CoRR abs/1804.07491 (2018) - [i3]Luc Le Magoarou, Stéphane Paquelet:
Bias-variance tradeoff in MIMO channel estimation. CoRR abs/1804.07529 (2018) - [i2]Antoine Le Calvez, Luc Le Magoarou, Stéphane Paquelet:
Massive MIMO channel estimation taking into account spherical waves. CoRR abs/1811.05669 (2018) - 2017
- [i1]Luc Le Magoarou, Stéphane Paquelet:
Parametric channel estimation for massive MIMO. CoRR abs/1710.08214 (2017)
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