Deep neural network augmented wireless channel estimation for preamble-based ofdm phy on zynq system on chip
Reliable and fast channel estimation is crucial for next-generation wireless networks
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip
Reliable and fast channel estimation is crucial for next-generation wireless networks
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
Low complexity deep learning augmented wireless channel estimation for pilot-based ofdm on zynq system on chip
Channel estimation (CE) is one of the critical signal-processing tasks of the wireless
physical layer (PHY). Recent deep learning (DL) based CE have outperformed statistical …
physical layer (PHY). Recent deep learning (DL) based CE have outperformed statistical …
Low complexity high speed deep neural network augmented wireless channel estimation
SAU Haq, V Singh, BT Tanaji… - 2024 37th International …, 2024 - ieeexplore.ieee.org
The channel estimation (CE) in wireless receivers is one of the most critical and
computationally complex signal processing operations. Recently, various works have shown …
computationally complex signal processing operations. Recently, various works have shown …
An efficient deep neural network channel state estimator for OFDM wireless systems
HA Hassan, MA Mohamed, MN Shaaban, MHE Ali… - Wireless …, 2023 - Springer
Channel state estimation (CSE) is essential for orthogonal frequency division multiplexing
(OFDM) wireless systems to deal with multipath channel fading. To attain a high data rate …
(OFDM) wireless systems to deal with multipath channel fading. To attain a high data rate …
Domain knowledge aided neural network for wireless channel estimation
S Chakraborty, D Saha - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
Channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) transmission is
well investigated with model based approaches. Recent effort also explores the data driven …
well investigated with model based approaches. Recent effort also explores the data driven …
A novel sparse multipath channel estimation model in OFDM system using improved Krill Herd-deep neural network
V Kondepogu, B Bhattacharyya - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Orthogonal Frequency Division Multiplexing (OFDM) is broadly used in modern
wireless communication systems because of its highly robust nature when selecting the …
wireless communication systems because of its highly robust nature when selecting the …
Hybrid AE and Bi-LSTM-aided sparse multipath channel estimation in OFDM systems
V Kondepogu, B Bhattacharyya - IEEE Access, 2024 - ieeexplore.ieee.org
OFDM is a powerful modulation technique that efficiently transmits high-speed digital data
over frequency-selective fading channels. It divides the signal into multiple subcarriers, each …
over frequency-selective fading channels. It divides the signal into multiple subcarriers, each …
Efficient machine learning-enhanced channel estimation for OFDM systems
Recently much research work has focused on employing deep learning (DL) algorithms to
perform channel estimation in the upcoming 6G communication systems. However, these DL …
perform channel estimation in the upcoming 6G communication systems. However, these DL …
Deep Learning Aided Channel Estimation in OFDM Systems
K Garlapati, N Kota, YS Mondreti… - 2022 International …, 2022 - ieeexplore.ieee.org
Orthogonal frequency-division multiplexing has become broadly employed in modern
communication technology with wireless systems. It subdivides a radio channel together into …
communication technology with wireless systems. It subdivides a radio channel together into …