This paper provides a comprehensive survey on recent advances in deep learning (DL)
techniques for the channel coding problems. Inspired by the recent successes of DL in a …

This paper first realizes the construction of multi-level language database by using big data
technology and deep learning algorithm. Then, through the analysis of neural network …

Wireless sensors are everywhere. To address their energy supply, we proposed an end-to-
end design for polar-coded integrated data and energy networking (IDEN), where the …

A joint neural network decoder and denoiser scheme demonstrated superior performance
compared to individual modules. However, there is still a limitation that the existing …

Several researchers are interested in polar codes for the sake of their capacity which nearly
catches memoryless channels capacity. They have been used as part of the 5G technology …

The noise existent in practical systems degrades reliability performances, especially when
delivering data over fast fading channels with the correlated noise. To address this issue, we …

Recently, deep learning aided methods have been developed for error correction coding
with quantitative constraints. However, previous studies only focus on additive white …

Convolutional neural networks are widely used for feature extraction in signal recognition. A
critical issue in convolutional neural networks is the loss of information which increases with …

Short-cycles in Tanner graphs have a direct impact on the accuracy and effectiveness of the
belief propagation (BP) algorithm, as they diverge the BP algorithm by disrupting the …

By concatenating a polar transform with a convolutional transform, polarization-adjusted
convolutional (PAC) codes can reach the dispersion approximation bound in certain rate …