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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
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Papers citing "End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints"

5 / 5 papers shown
Title
End-to-End Autoencoder Communications with Optimized Interference Suppression
End-to-End Autoencoder Communications with Optimized Interference Suppression
Kemal Davaslioglu
T. Erpek
Y. Sagduyu
42
4
0
29 Dec 2021
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
27
4
0
21 Oct 2021
Waveform Learning for Next-Generation Wireless Communication Systems
Waveform Learning for Next-Generation Wireless Communication Systems
Fayçal Ait Aoudia
J. Hoydis
24
31
0
02 Sep 2021
DeepRx: Fully Convolutional Deep Learning Receiver
DeepRx: Fully Convolutional Deep Learning Receiver
Mikko Honkala
D. Korpi
Janne M. J. Huttunen
30
134
0
04 May 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,613
0
17 Apr 2017