Advances in artificial intelligence (AI) and wireless technology are driving forward the large
deployment of interconnected smart technologies that constitute cyber–physical systems …

The recent development in machine learning, especially in deep neural networks (DNN),
has enabled learning-based end-to-end communication systems, where DNNs are …

With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …

Deep Learning has rendered overwhelming potential to support the rising interest of high
dependability and maximum capacity wireless communication systems. Channel estimation …

In the sixth-generation (6G) networks, newly emerging diversified services of massive users
in dynamic network environments are required to be satisfied by multi-dimensional …

The year 2019 witnessed the rollout of the 5G standard, which promises to offer significant
data rate improvement over 4G. While 5G is still in its infancy, there has been an increased …

With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Deep-learning (DL) has emerged as a powerful machine-learning technique for several
problems encountered in generic wireless communications. Also, random Fourier Features …

Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

Knowledge of information about the propagation channel in which a wireless system
operates enables better, more efficient approaches for signal transmissions. Therefore …