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Energy-Efficient Secure Cell-Free Massive MIMO Precoding with Power Constraints Per Access Point for Next Generations of Communications
This paper investigates power allocation strategies for cell-free massive MIMO (CF-mMIMO) systems based on new secure MIMO precoding …
Steve Sawadogo, Vincent Savaux, Luc Le Magoarou, Matthieu Crussière, Patrick Savelli
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Channel Charting for Efficient Precoding in Cell-Free Massive MIMO
Cell-free massive MIMO (CF-mMIMO) systems promise enhanced spectral efficiency and uniform service by deploying numerous distributed …
Hussein Abbass, Luc Le Magoarou, Joumana Farah, Matthieu Crussière
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DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources
Future wireless technologies will require accurate localization of multiple users in the radiative near-field. A leading approach …
Arad Gast, Luc Le Magoarou, Nir Shlezinger
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Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems
Gain-phase impairments (GPIs) affect both communication and sensing in 6G integrated sensing and communication (ISAC). We study the …
José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
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Efficient Deep Unfolding for SISO-OFDM Channel Estimation
In modern communication systems, channel state information is of paramount importance to achieve capacity. It is then crucial to …
Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab
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Model-Driven End-to-End Learning for Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is envisioned to be one of the pillars of 6G. However, 6G is also expected to be severely …
José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
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Channel charting based beamforming
Channel charting (CC) is an unsupervised learning method allowing to locate users relative to each other without reference. From a …
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Cite DOI arXiv
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
Channel charting is an unsupervised learning method that aims at mapping wireless channels to a so-called chart, preserving as much as …
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
Cite DOI arXiv
Deep Learning for Location Based Beamforming with Nlos Channels
Massive MIMO systems are highly efficient but critically rely on accurate channel state information (CSI) at the base station in or-der …
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Cite DOI arXiv
On the Computation of Integrals of Bivariate Gaussian Distribution
This paper deals with the computation of integrals of centred bivariate Gaussian densities over any domain defined as an angular sector …
Vincent Savaux, Luc Le Magoarou
Cite DOI hal