A comprehensive review to the theory, application and research of machine learning for
future wireless communications In one single volume, Machine Learning for Future Wireless …

In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

5G represents the next generation of communication networks and services, and will bring a
new set of use cases and scenarios. These in turn will address a new set of challenges from …

The granularization of crucial network functions implementation using software-centric, and
virtualized approaches in 5G networks have brought forth unprecedented security …

Machine Learning (ML) and Artificial Intelligence (AI) have become alternative approaches
in wireless networksbeside conventional approaches such as model based …

It is envisioned that 6G, unlike its predecessor 5G, will depart from connected machines and
connected people to connected intelligence. The main goal of 6G networks is to support …

5G stands for the fifth and the latest generation in wireless networks. It offers three main
technological advances compared to the previous standards: more speed network, reduced …

The emerging vehicular networks are expected to make everyday vehicular operation safer,
greener, and more efficient, and pave the path to autonomous driving in the advent of the …

Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

In the coming 6G communications, network densification, high throughput, positioning
accuracy, energy efficiency, and many other key performance indicator requirements are …