ABSTRACT

This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems.

The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications.

The book is written as a reference that offers the latest technologies and research results to various industry problems.

chapter 10|14 pages

DLA-RL

Distributed Link Aware-Reinforcement Learning Algorithm for Delay-Sensitive Networks