Due to the proliferation of applications and services that run over communication networks,
ranging from video streaming and data analytics to robotics and augmented reality …

The areas of machine learning and communication technology are converging. Today's
communications systems generate a huge amount of traffic data, which can help to …

Over the past few years, the demand for data traffic has experienced explosive growth
thanks to the increasing need to stay online. New applications of communications, such as …

In the era of the new generation of communication systems, data traffic is expected to
continuously strain the capacity of future communication networks. Along with the …

Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

Recently, machine learning has been used in every possible field to leverage its amazing
power. For a long time, the networking and distributed computing system is the key …

This special issue explores how emerging machine learning (ML) and artificial intelligence
(AI) algorithms can help computer networks become smarter. The final goal is to disseminate …

Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

Traditional communication systems design is dominated by methods that are based on
statistical models. These statistical-model-based algorithms, which we refer to henceforth as …

With the booming development of artificial intelligence (AI), a series of relevant applications
are emerging and promoting an all-rounded reform of the industry. As the major technology …