Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems

M Goutay, FA Aoudia, J Hoydis… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
Machine learning (ML) can be used in various ways to improve multi-user multiple-input
multiple-output (MU-MIMO) receive processing. Typical approaches either augment a single …
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Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems

M Goutay, FA Aoudia, J Hoydis, JM Gorce - arXiv preprint arXiv …, 2021 - arxiv.org
Machine learning (ML) can be used in various ways to improve multi-user multiple-input
multiple-output (MU-MIMO) receive processing. Typical approaches either augment a single …

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems

M Goutay, F Ait Aoudia, J Hoydis, JM Gorce - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Machine learning (ML) can be used in various ways to improve multi-user multiple-
input multiple-output (MU-MIMO) receive processing. Typical approaches either augment a …

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems

M Goutay, FA Aoudia, J Hoydis… - SPAWC 2021-IEEE 22nd …, 2021 - inria.hal.science
Machine learning (ML) can be used in various ways to improve multi-user multiple-input
multiple-output (MU-MIMO) receive processing. Typical approaches either augment a single …

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems

M Goutay, FA Aoudia, J Hoydis… - SPAWC 2021-IEEE 22nd …, 2021 - hal.science
Machine learning (ML) can be used in various ways to improve multi-user multiple-input
multiple-output (MU-MIMO) receive processing. Typical approaches either augment a single …