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mpNet: variable depth unfolded neural network for massive MIMO channel
  estimation

mpNet: variable depth unfolded neural network for massive MIMO channel estimation

7 August 2020
Taha Yassine
Luc Le Magoarou
ArXivPDFHTML

Papers citing "mpNet: variable depth unfolded neural network for massive MIMO channel estimation"

6 / 6 papers shown
Title
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Baptiste Chatelier
José Miguel Mateos-Ramos
Vincent Corlay
Christian Hager
M. Crussiére
H. Wymeersch
Luc Le Magoarou
80
3
0
06 Nov 2024
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Baptiste Chatelier
Vincent Corlay
M. Crussiére
Luc Le Magoarou
31
1
0
17 Jun 2024
Channel charting based beamforming
Channel charting based beamforming
Luc Le Magoarou
Taha Yassine
S. Paquelet
M. Crussiére
32
9
0
06 Dec 2022
Efficient Deep Unfolding for SISO-OFDM Channel Estimation
Efficient Deep Unfolding for SISO-OFDM Channel Estimation
Baptiste Chatelier
Luc Le Magoarou
Getachew Redieteab
24
12
0
11 Oct 2022
Leveraging triplet loss and nonlinear dimensionality reduction for
  on-the-fly channel charting
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
Taha Yassine
Luc Le Magoarou
S. Paquelet
M. Crussiére
36
12
0
04 Apr 2022
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,172
0
02 Feb 2017
1