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Machine Learning for MU-MIMO Receive Processing in OFDM Systems
v1v2 (latest)

Machine Learning for MU-MIMO Receive Processing in OFDM Systems

IEEE Journal on Selected Areas in Communications (JSAC), 2020
15 December 2020
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
J. Gorce
ArXiv (abs)PDFHTMLGithub

Papers citing "Machine Learning for MU-MIMO Receive Processing in OFDM Systems"

5 / 5 papers shown
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory
Bit-Metric Decoding Rate in Multi-User MIMO Systems: TheoryIEEE Transactions on Wireless Communications (TWC), 2022
P. Srinath
J. Hoydis
303
5
0
11 Mar 2022
DeepTx: Deep Learning Beamforming with Channel Prediction
DeepTx: Deep Learning Beamforming with Channel PredictionIEEE Transactions on Wireless Communications (TWC), 2022
Janne M. J. Huttunen
D. Korpi
Mikko Honkala
342
21
0
16 Feb 2022
Learning OFDM Waveforms with PAPR and ACLR Constraints
Learning OFDM Waveforms with PAPR and ACLR Constraints
Mathieu Goutay
Fayccal Ait Aoudia
J. Hoydis
J. Gorce
275
7
0
21 Oct 2021
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM SystemsInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
J. Gorce
153
1
0
30 Jun 2021
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
J. Gorce
258
16
0
30 Jun 2021
1
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