In this article, we propose a symmetric encryption end-to-end communication system based
on deep convolutional generative adversarial networks to solve the security problem of …

Demodulation techniques are of central importance for achieving intelligent receiving.
Improvement in demodulation performance enhances the overall performance of a …

To address the problems of the high complexity and poor bit error rate (BER) performance of
traditional communication systems in underwater acoustic environments, this paper …

Recently, machine learning based blind detection of modulation and coding scheme (MCS)
has been proven highly effective in achieving dynamic wireless communications in …

Unmanned Aerial Vehicles (UAVs) are drawing enormous attention in both commercial and
military applications to facilitate dynamic wireless communications and deliver seamless …

Deep learning (DL)-based channel state information (CSI) feedback has the potential to
improve the recovery accuracy and reduce the feedback overhead in massive multiple-input …

Random interleavers are widely employed in digital communication systems to combat
channel fading and burst errors. In applications such as grant-free access by Internet of …

We propose extreme compression techniques like binarization, ternarization for Turbo code
based Neural Decoders such as TurboAE. These methods reduce memory and computation …

The new wireless generation 6G use of intelligent devices, sensors, and new applications
like virtual reality and autonomous driving requires higher demands on the network with …

Rapid change in the technology for seamless transmission of data at very high rate poses a
great challenge for system designers. Signal is highly affected by the Noise and Error …