With the advent of Big Data, conventional communication networks are often limited in their inability to handle complex and voluminous data and information as far as effective processing, transmission, and reception are concerned. This book discusses the evolution of computational intelligence techniques in handling intelligent communication networks. Provides a detailed theoretical foundation of machine learning and computational intelligence algorithmsHighlights the state of art machine learning-based solutions for communication networksPresents video demonstrations and code snippets on each chapter for easy understanding of the conceptsDiscusses applications including resource allocation, spectrum management, channel estimation, and physical layer of wireless networksDemonstrates applications of machine learning techniques for optical networksThe text is primarily intended for senior undergraduate and graduate students and academic researchers in fields of electrical engineering, electronics and communication engineering, and computer engineering.
