Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

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 …

A fully operative and efficient 5G network cannot be complete without the inclusion of
artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) …

Internet of Vehicles (IoV) technology has been attracting great interest from both academia
and industry due to its huge potential impact on improving driving experiences and enabling …

Modern cellular communication networks are already being perturbed by large and steadily
increasing mobile subscribers in high demand for better service quality. To constantly and …

In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …

Path loss prediction is essential for network planning in any wireless communication system.
For cellular networks, it is usually achieved through extensive received signal power …

Mobile edge computing (MEC) is an emerging paradigm to offload computations from the
cloud to the MEC servers in vehicular networks, aiming at better supporting computation …

Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …