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Stéphane Paquelet
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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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