[HTML][HTML] A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization
Q Zheng, X Tian, Z Yu, H Wang, A Elhanashi… - … Applications of Artificial …, 2023 - Elsevier
Automatic modulation classification (AMC) is an essential and indispensable topic in the
development of cognitive radios. It is the cornerstone of adaptive modulation and …
development of cognitive radios. It is the cornerstone of adaptive modulation and …
Active disease-related compound identification based on capsule network
B Yang, W Bao, J Wang - Briefings in bioinformatics, 2022 - academic.oup.com
Pneumonia, especially corona virus disease 2019 (COVID-19), can lead to serious acute
lung injury, acute respiratory distress syndrome, multiple organ failure and even death. Thus …
lung injury, acute respiratory distress syndrome, multiple organ failure and even death. Thus …
Artificial intelligence-driven real-time automatic modulation classification scheme for next-generation cellular networks
Automatic modulation classification (AMC) can play an important role in the timely
identification of suspicious and unwanted signal activities to enable secure communication …
identification of suspicious and unwanted signal activities to enable secure communication …
[HTML][HTML] Two-lane DNN equalizer using balanced random-oversampling for W-band PS-16QAM ROF delivery over 4.6 km
S Xu, B Sang, L Zeng, L Zhao - Sensors, 2023 - mdpi.com
For W-band long-range mm-wave wireless transmission systems, nonlinearity issues
resulting from photoelectric devices, optical fibers, and wireless power amplifiers can be …
resulting from photoelectric devices, optical fibers, and wireless power amplifiers can be …
Random Graph‐Based M‐QAM Classification for MIMO Systems
Automatic modulation classification (AMC) has been identified to perform a key role to
realize technologies such as cognitive radio, dynamic spectrum management, and …
realize technologies such as cognitive radio, dynamic spectrum management, and …
[PDF][PDF] 基于多重分形谱智能分析的卫星信号调制识别研究
杨伟超， 杜宇， 文伟， 侯舒维， 徐常志， 张建华 - 电子学报, 2022 - ejournal.org.cn
调制方式识别是电磁频谱战中的关键技术之一, 已有星上识别方法智能化程度低, 适应性差.
针对此类问题, 提出了一种基于多重分形谱和深度学习相结合的智能识别方法 …
针对此类问题, 提出了一种基于多重分形谱和深度学习相结合的智能识别方法 …
Photonics-aided 335 GHz PS-64QAM wireless transmission over 200 m employing complex-valued NN classification and random sampling techniques
T Xie, J Yu, W Zhou - Optics Express, 2023 - opg.optica.org
THz fiber-wireless technique can overcome the bandwidth bottleneck of electrical devices
and has been popularized in different application scenarios. Furthermore, the probabilistic …
and has been popularized in different application scenarios. Furthermore, the probabilistic …
Classifying wireless signal modulation sorting using convolutional neural network
Deep learning has recently been used for this issue with superior results in automatic
modulation classification. Previous studies state that it is challenging to categorize a variety …
modulation classification. Previous studies state that it is challenging to categorize a variety …
Amc2-pyramid: Intelligent pyramidal feature engineering and multi-distance decision making for automatic multi-carrier modulation classification
Automatic modulation classification (AMC) is a method that supported different wireless
communication systems for modulation type classification. Currently, orthogonal frequency …
communication systems for modulation type classification. Currently, orthogonal frequency …