Low Complexity High Speed Deep Neural Network Augmented Wireless Channel Estimation
V Singh, BT Tanaji, S Darak - arXiv preprint arXiv:2311.08689, 2023 - arxiv.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 …
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 …
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 learning based channel estimation schemes for IEEE 802.11 p standard
IEEE 802.11 p standard is specially developed to define vehicular communications
requirements and support cooperative intelligent transport systems. In such environment …
requirements and support cooperative intelligent transport systems. In such environment …
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 learning for channel estimation: Interpretation, performance, and comparison
Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …
communication systems, especially under some imperfect environments. However, even …
Lightweight 5g Ofdm Channel Estimation Method Based on Deep Complex-Valued Neural Network
Y Lu, L Yu, X Wei, Y Hu, C Yao - Available at SSRN 4436254, 2023 - papers.ssrn.com
Accurate channel estimation (CE) can significantly reduce the Bit Error Rate (BER) and
improve the efficiency and quality of communication, and has become one of the key …
improve the efficiency and quality of communication, and has become one of the key …
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 …
LWCNet: Lightweight Complex Neural Network for Real-Time Channel Estimation
Convolutional neural networks (CNNs) have been widely adopted in various fields and the
wireless communication domain is no exception; researchers leveraged CNNs for …
wireless communication domain is no exception; researchers leveraged CNNs for …
A deep learning based channel estimation scheme for IEEE 802.11 p systems
S Han, Y Oh, C Song - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel deep learning based channel estimation scheme for IEEE
802.11 p vehicle-to-everything (V2X) communication systems. A major challenge in the V2X …
802.11 p vehicle-to-everything (V2X) communication systems. A major challenge in the V2X …