Implementing Data Analytics and Architectures for Next Generation Wireless Communications

Wireless Communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. The new emerging requirements gave birth to Cloud Computing (CC), Internet of Things and many other advancements. Moreover, the redesign of networking architectures and protocols for content-based Networks is also a new research direction. We are able to use LTE, LTE-Advanced and other emerging technologies due to enormous efforts which are made to improve quality of service in cellular networks. This book is dedicated to addressing the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities.

Deep Learning and big data analytics are applicable in many capacities at a variety of levels especially in Networks. Professors, researchers, scientists, academicians, students, and libraries may use this volume for their need to handle big data in their domains. The models and techniques described here also may be applicable to many businesses in a customized manner. This book will be helpful to academicians, practitioners, researchers, and students to carry out similar experiments to effectively handle their respective businesses.