Theoretical analysis of deep neural networks in physical layer communication
Recently, deep neural network (DNN)-based physical layer communication techniques have
attracted considerable interest. Although their potential to enhance communication systems …
attracted considerable interest. Although their potential to enhance communication systems …
Opening the black box of deep neural networks in physical layer communication
Deep Neural Network (DNN)-based physical layer techniques are attracting considerable
interest due to their potential to enhance communication systems. However, most studies in …
interest due to their potential to enhance communication systems. However, most studies in …
Model-driven deep learning for physical layer communications
Intelligent communication is gradually becoming a mainstream direction. As a major branch
of machine learning, deep learning (DL) has been applied in physical layer communications …
of machine learning, deep learning (DL) has been applied in physical layer communications …
[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 …
Backpropagating through the air: Deep learning at physical layer without channel models
Recent developments in applying deep learning techniques to train end-to-end
communication systems have shown great promise in improving the overall performance of …
communication systems have shown great promise in improving the overall performance of …
Deep learning for wireless physical layer: Opportunities and challenges
Machine learning (ML) has been widely applied to the upper layers of wireless
communication systems for various purposes, such as deployment of cognitive radio and …
communication systems for various purposes, such as deployment of cognitive radio and …
Deep learning in physical layer communications
DL has shown great potential to revolutionize communication systems. This article provides
an overview of the recent advancements in DL-based physical layer communications. DL …
an overview of the recent advancements in DL-based physical layer communications. DL …
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 …
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 …
[PDF][PDF] End-to-end learning for physical layer communications
Since Shannon's groundbreaking work on the fundamental limits of communications [1],
engineers have been seeking to solve the task of “reproducing at one point either exactly or …
engineers have been seeking to solve the task of “reproducing at one point either exactly or …