Physical layer communication via deep learning
Reliable digital communication is a primary workhorse of the modern information age. The
disciplines of communication, coding, and information theories drive the innovation by …
disciplines of communication, coding, and information theories drive the innovation by …
Communication algorithms via deep learning
Coding theory is a central discipline underpinning wireline and wireless modems that are
the workhorses of the information age. Progress in coding theory is largely driven by …
the workhorses of the information age. Progress in coding theory is largely driven by …
Turbo autoencoder: Deep learning based channel codes for point-to-point communication channels
Designing codes that combat the noise in a communication medium has remained a
significant area of research in information theory as well as wireless communications …
significant area of research in information theory as well as wireless communications …
Deepcode: Feedback codes via deep learning
The design of codes for communicating reliably over a statistically well defined channel is an
important endeavor involving deep mathematical research and wide-ranging practical …
important endeavor involving deep mathematical research and wide-ranging practical …
Deepcode: Feedback codes via deep learning
The design of codes for communicating reliably over a statistically well defined channel is an
important endeavor involving deep mathematical research and wide-ranging practical …
important endeavor involving deep mathematical research and wide-ranging practical …
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 …
Productae: Toward training larger channel codes based on neural product codes
There have been significant research activities in recent years to automate the design of
channel encoders and decoders via deep learning. Due the dimensionality challenge in …
channel encoders and decoders via deep learning. Due the dimensionality challenge in …
Circular convolutional auto-encoder for channel coding
In this article, we investigate deep auto-encoders for channel coding to combat the curse of
dimensionality commonly existing in learning based coding. Inspired by convolutional …
dimensionality commonly existing in learning based coding. Inspired by convolutional …
An introduction to deep learning for the physical layer
We present and discuss several novel applications of deep learning for the physical layer.
By interpreting a communications system as an autoencoder, we develop a fundamental …
By interpreting a communications system as an autoencoder, we develop a fundamental …
Performance analysis of deep learning based on recurrent neural networks for channel coding
R Sattiraju, A Weinand… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Channel Coding has been one of the central disciplines driving the success stories of
current generation LTE systems and beyond. In particular, turbo codes are mostly used for …
current generation LTE systems and beyond. In particular, turbo codes are mostly used for …