A Deep Neural Network with Residual Skip Connections for Channel Estimation
X Ren, L Chen, Z Liu - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
When using orthogonal frequency-division multiplexing (OFDM) for communication in
channels with high resistance to inter-symbol interference (ISI), conventional channel …
channels with high resistance to inter-symbol interference (ISI), conventional channel …
Deep Learning-aided Channel Estimation For Universal Filtered Multi-carrier Systems
MM Youssef, M Ibrahim… - 2023 40th National Radio …, 2023 - ieeexplore.ieee.org
In this paper, a novel channel estimation technique is proposed for Universal Filtered Multi-
Carrier (UFMC) systems. The proposed technique employs Deep Learning (DL) models …
Carrier (UFMC) systems. The proposed technique employs Deep Learning (DL) models …
A review on Recent Trends in Deep Learning-based Channel Estimation Techniques
M Susandhika, AS Edward - 2024 4th International Conference …, 2024 - ieeexplore.ieee.org
Accurate channel estimation is essential for improving the performance and reliability of data
transmission in wireless communication systems. Deep learning techniques have become a …
transmission in wireless communication systems. Deep learning techniques have become a …
Federated generative adversarial networks based channel estimation
With the rapid growth of connectivity and demands on reliable communications, channel
estimation becomes a critical problem. Recently, the advancement of deep learning enables …
estimation becomes a critical problem. Recently, the advancement of deep learning enables …
Channel estimation based on deep learning in vehicle-to-everything environments
Channel estimation in vehicle-to-everything (V2X) communications is a challenging issue
due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp …
due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp …
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 …
Joint TRFI and deep learning for vehicular channel estimation
IEEE 802.11 p standard enables the wireless technology that defines vehicular
communications. However, IEEE 802.11 p frame structure employing low pilot density is not …
communications. However, IEEE 802.11 p frame structure employing low pilot density is not …
Wireless Channel Estimation and Equalization Based on Deep Learning
X Huang, L Chen, X Chen, M Wang… - 2024 10th IEEE …, 2024 - ieeexplore.ieee.org
Nowadays, the research on wireless communication is hot, and it has achieved leapfrog
development in the past few decades and has made astonishing breakthroughs in emerging …
development in the past few decades and has made astonishing breakthroughs in emerging …
Performance of a Neural Network Receiver under Mismatch of Channel Training Samples
PHC De Souza, LL Mendes… - 2022 IEEE Future …, 2022 - ieeexplore.ieee.org
Data-driven frameworks for wireless communications systems are currently attracting a lot of
attention from researchers and practitioners alike. These frameworks based on machine …
attention from researchers and practitioners alike. These frameworks based on machine …
[引用][C] Survey on Deep Learning Techniques for Wireless Communications
T Diamandis - EE 359 Final Project Stanford university, 2017