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 …

I. INTRODUCTION ARTIFICIAL Intelligence (AI) and Machine Learn-ing (ML) approaches
have emerged in the networking domain with great expectation. They can be broadly …

Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

How can machine learning help the design of future communication networks-and how can
future networks meet the demands of emerging machine learning applications? Discover the …

Next-generation wireless networks (NGWN) have a substantial potential in terms of
supporting a broad range of complex compelling applications both in military and civilian …

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 …

Rapid improvements in machine learning over the past decade are beginning to have far-
reaching effects. For communications, engineers with limited domain expertise can now use …

Along with the fast developing of mobile communications technologies, the amount of high
quality wireless services is required and increasing exponentially. According to the …

The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

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 …