The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …

Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …

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 …

In this article, we develop an end-to-end wireless communication system using deep neural
networks (DNNs), where DNNs are employed to perform several key functions, including …

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 …

The problem of low complexity, close to optimal, channel decoding of linear codes with short
to moderate block length is considered. It is shown that deep learning methods can be used …

We consider detection based on deep learning, and show it is possible to train detectors that
perform well without any knowledge of the underlying channel models. Moreover, when the …

In this paper, online deep learning (DL)-based channel estimation algorithm for doubly
selective fading channels is proposed by employing the deep neural network (DNN). With …

Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms
with tools from neural networks to efficiently solve a range of tasks in machine learning …