Pilot pattern design for deep learning-based channel estimation in OFDM systems
M Soltani, V Pourahmadi… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this letter, we present a downlink pilot design scheme for Deep Learning (DL) based
channel estimation (ChannelNet) in orthogonal frequency-division multiplexing (OFDM) …
channel estimation (ChannelNet) in orthogonal frequency-division multiplexing (OFDM) …
Deep residual learning meets OFDM channel estimation
In this letter we apply deep learning tools to conduct channel estimation for an orthogonal
frequency division multiplexing (OFDM) system based on downlink pilots. To be specific, a …
frequency division multiplexing (OFDM) system based on downlink pilots. To be specific, a …
Deep learning gated recurrent neural network-based channel state estimator for OFDM wireless communication systems
Using deep learning technologies, the channel estimate for an orthogonal frequency
division multiplexing system (OFDM) based on pilots is done in this work. To be more …
division multiplexing system (OFDM) based on pilots is done in this work. To be more …
Deep learning based channel estimation for OFDM systems with doubly selective channel
Q Peng, J Li, H Shi - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In wireless communication orthogonal frequency division multiplexing (OFDM) systems with
high mobility, channel estimation becomes challenging due to the double selectivity of …
high mobility, channel estimation becomes challenging due to the double selectivity of …
Deep learning for joint pilot design and channel estimation in MIMO-OFDM systems
XF Kang, ZH Liu, M Yao - Sensors, 2022 - mdpi.com
In MIMO-OFDM systems, pilot design and estimation algorithm jointly determine the
reliability and effectiveness of pilot-based channel estimation methods. In order to improve …
reliability and effectiveness of pilot-based channel estimation methods. In order to improve …
Deep learning‐based pilot‐assisted channel state estimator for OFDM systems
MH Essai Ali - IET Communications, 2021 - Wiley Online Library
This study proposes an online deep learning‐based channel state estimator for OFDM
wireless communication systems by employing the deep learning long short‐term memory …
wireless communication systems by employing the deep learning long short‐term memory …
Pilot based channel estimation of OFDM systems using deep learning techniques
In wireless communication systems, channel estimation is one of the vital processes for
determining channel characteristics. Deep learning based approaches construct a 2D image …
determining channel characteristics. Deep learning based approaches construct a 2D image …
RoemNet: Robust meta learning based channel estimation in OFDM systems
H Mao, H Lu, Y Lu, D Zhu - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Recently, in order to achieve performance improvement in scenarios where the channel is
either unknown, or too complex for an analytical description, Neural Network (NN) based …
either unknown, or too complex for an analytical description, Neural Network (NN) based …
Pruning the pilots: Deep learning-based pilot design and channel estimation for MIMO-OFDM systems
MB Mashhadi, D Gündüz - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the large number of antennas and subcarriers the overhead due to pilot transmission
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
Deep learning for joint channel estimation and signal detection in OFDM systems
X Yi, C Zhong - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
In this letter, we propose a novel deep learning based approach for joint channel estimation
and signal detection in orthogonal frequency division multiplexing (OFDM) systems by …
and signal detection in orthogonal frequency division multiplexing (OFDM) systems by …