Two applications of deep learning in the physical layer of communication systems
E Björnson, P Giselsson - arXiv preprint arXiv:2001.03350, 2020 - arxiv.org
Deep learning has proved itself to be a powerful tool to develop data-driven signal
processing algorithms for challenging engineering problems. By learning the key features …
processing algorithms for challenging engineering problems. By learning the key features …
Two applications of deep learning in the physical layer of communication systems [lecture notes]
E Bjornson, P Giselsson - IEEE Signal Processing Magazine, 2020 - ieeexplore.ieee.org
Deep learning has proven itself to be a powerful tool to develop datadriven signal
processing algorithms for challenging engineering problems. By learning the key features …
processing algorithms for challenging engineering problems. By learning the key features …
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 …
exploded, the system structure has become increasingly complex, and existing …
Deep learning and its applications to signal and information processing [exploratory dsp]
The purpose of this article is to introduce the readers to the emerging technologies enabled
by deep learning and to review the research work conducted in this area that is of direct …
by deep learning and to review the research work conducted in this area that is of direct …
[DOC][DOC] Deep learning for signal and information processing
This short monograph contains the material expanded from two tutorials that the authors
gave, one at APSIPA in October 2011 and the other at ICASSP in March 2012. Substantial …
gave, one at APSIPA in October 2011 and the other at ICASSP in March 2012. Substantial …
[HTML][HTML] Toward intelligent wireless communications: Deep learning-based physical layer technologies
S Liu, T Wang, S Wang - Digital Communications and Networks, 2021 - Elsevier
Advanced technologies are required in future mobile wireless networks to support services
with highly diverse requirements in terms of high data rate and reliability, low latency, and …
with highly diverse requirements in terms of high data rate and reliability, low latency, and …
Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks
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 …
advance towards the intelligent society of the sixth generation wireless networks, traditional …
A brief review on deep learning in application of communication signal processing
Y Liu, Y Li, Y Zhu, Y Niu, P Jia - 2020 IEEE 5th International …, 2020 - ieeexplore.ieee.org
This paper presents a brief review on deep learning in application of communication signal
processing. As an important branch of artificial intelligence technology, deep learning …
processing. As an important branch of artificial intelligence technology, deep learning …
[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …
domains. This new field of machine learning has been growing rapidly and has been …
What can machine learning teach us about communications?
M Lian, C Häger, HD Pfister - 2018 IEEE Information Theory …, 2018 - ieeexplore.ieee.org
Rapid improvements in machine learning over the past decade are beginning to have far-
reaching effects. For communications, engineers with limited domain expertise can now use …
reaching effects. For communications, engineers with limited domain expertise can now use …