The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

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 …

The popularity of Artificial Intelligence (AI)–and of Machine Learning (ML) as an approach to
AI, has dramatically increased in the last few years, due to its out-standing performance in …

The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

These days, Internet coverage and technologies are growing rapidly, hence, it makes the
network more complex and heterogeneous. Software defined network (SDN) revolutionized …

Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Advances in artificial intelligence and machine learning (AI/ML) algorithms are not only the
fastest growing areas but also provide endless possibilities in many different science and …

The next telecommunications standard, 5G, envisions that the future networks will support
advanced use cases, such as Internet of things while supporting voluminous simultaneous …

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

Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …