Deep learning based automatic modulation recognition: Models, datasets, and challenges
Automatic modulation recognition (AMR) detects the modulation scheme of the received
signals for further signal processing without needing prior information, and provides the …
signals for further signal processing without needing prior information, and provides the …
A review of research on signal modulation recognition based on deep learning
W Xiao, Z Luo, Q Hu - Electronics, 2022 - mdpi.com
Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …
data throughput, so the joint development of artificial intelligence technology and wireless …
A lightweight deep learning model for automatic modulation classification using residual learning and squeeze–excitation blocks
Automatic modulation classification (AMC) is a vital process in wireless communication
systems that is fundamentally a classification problem. It is employed to automatically …
systems that is fundamentally a classification problem. It is employed to automatically …
A semi-supervised modulation identification in MIMO systems: A deep learning strategy
Accurate modulation identification of the received signals is undoubtedly a central
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
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 …
Detecting Wireless Signal Noise in Mobile Radio Communications Using Spatiotemporal AnoGAN-Based Approaches
With the development of radio modulation technologies for communication and wireless
applications, several studies have been conducted to reduce and eliminate noise during …
applications, several studies have been conducted to reduce and eliminate noise during …
Gait characteristics analyzed with smartphone IMU sensors in subjects with parkinsonism under the conditions of “dry” immersion
AY Meigal, LI Gerasimova-Meigal, SA Reginya… - Sensors, 2022 - mdpi.com
Parkinson's disease (PD) is increasingly being studied using science-intensive methods due
to economic, medical, rehabilitation and social reasons. Wearable sensors and Internet of …
to economic, medical, rehabilitation and social reasons. Wearable sensors and Internet of …
Second-order statistics for STBC classification over amplify-and-forward cooperative systems
The space-time block code (STBC) classification has recently been recognized as a
prominent fundamental tool for the development of smart communication systems, which are …
prominent fundamental tool for the development of smart communication systems, which are …
The Use of Deep Learning Techniques in OFDM Receivers for 5G NR: A Survey
Abstract The Fifth Generation (5G) New Radio (NR) wireless system is the most promising
next-generation solution to meet the needs of the increasing demands of mobile market …
next-generation solution to meet the needs of the increasing demands of mobile market …
A Powerful Joint Modulation and STBC Identification Algorithm for Multiuser Uplink SC-FDMA Transmissions
Owing to the rapid development and broad adoption of multiple antenna communication
systems over the past few years, space-time block coding (STBC) identification has emerged …
systems over the past few years, space-time block coding (STBC) identification has emerged …