A new deep learning model based on improved AlexNet for radiation source target recognition

X Xu, C Wang - Proceedings of the 2018 International Conference on …, 2018 - dl.acm.org
For the need of accurate radiation source target recognition, incorporating machine learning
technology represented by deep learning, this paper explores a new mechanism and …

Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks

C Mao, Z Mu, Q Liang, I Schizas, C Pan - IET Communications, 2023 - Wiley Online Library
With the rapid development of the communication industry in the fifth generation and the
advance towards the intelligent society of the sixth generation wireless networks, traditional …

Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges

H Wu, X Li, Y Deng - Journal of Cloud Computing, 2020 - Springer
Future wireless communications are becoming increasingly complex with different radio
access technologies, transmission backhauls, and network slices, and they play an …

Special issue on advances and applications of artificial intelligence and machine learning for wireless communications

HB Yilmaz, CB Chae, Y Deng, T O'Shea… - Journal of …, 2020 - ieeexplore.ieee.org
With recent advances, Artificial Intelligence (AI) and Machine Learning (ML) approaches
have emerged to show great promise in the field of wireless communications. Although …

Applying deep-learning-based computer vision to wireless communications: Methodologies, opportunities, and challenges

Y Tian, G Pan, MS Alouini - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Deep learning (DL) has seen great success in the computer vision (CV) field, and related
techniques have been used in security, healthcare, remote sensing, and many other areas …

Machine learning and artificial intelligence in next-generation wireless network

W Iqbal, W Wang, T Zhu - arXiv preprint arXiv:2202.01690, 2021 - arxiv.org
Due to the advancement in technologies, the next-generation wireless network will be very
diverse, complicated, and according to the changed demands of the consumers. The current …

Improving next-generation wireless network performance and reliability with deep learning

FB Mismar - 2020 - repositories.lib.utexas.edu
A rudimentary question whether machine learning in general, or deep learning in particular,
could add to the well-established field of wireless communications, which has been evolving …

Deep learning methods in communication systems: A review

F Liao, S Wei, S Zou - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
With the rapid development of modern communication systems, the amount of data has
exploded, the system structure has become increasingly complex, and existing …

Deep learning for large-scale real-world ACARS and ADS-B radio signal classification

S Chen, S Zheng, L Yang, X Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Radio signal classification has a very wide range of applications in the field of wireless
communications and electromagnetic spectrum management. In recent years, deep learning …

Exploring the road to 6G: ABC—foundation for intelligent mobile networks

J Zhu, M Zhao, S Zhang, W Zhou - China Communications, 2020 - ieeexplore.ieee.org
The 5th generation (5G) mobile networks has been put into services across a number of
markets, which aims at providing subscribers with high bit rates, low latency, high capacity …