1) The textbook will provide the readers with a comprehensive theoretical and technical foundation of the mobile and wireless communication systems. 2) The textbook will include the latest advancements in technologies. 5 Information Classification: General 3) The textbook will include practical use-case scenarios using software that is also used in Industry (e.g., Altair Winprop). 4) The textbook will also present an introduction into Machine Learning techniques for Internet of Things with practical use case scenarios using Phyton, TensorFlow and Jupiter. 5) The textbook will also introduce the reader to key enabling technologies and concepts, like Digital Twins.

C-RAN and virtualized Small Cell technology poses several major research challenges. These include dynamic resource allocation, self-configuration in the baseband pool, high latency in data transfer between radio unit and baseband unit, the cost of data delivery, high volume of data in the network, software networking aspects, potential energy savings, security concerns, privacy of user's personal data at a remote place, limitations of virtualized environment, etc. This book provides deeper insights into the next generation RAN architecture and surveys the coexistence of SDN, C-RAN and Small Cells solutions proposed in the literature at different levels.

1) The textbook will provide the readers with a comprehensive theoretical and technical foundation of the mobile and wireless communication systems. 2) The textbook will include the latest advancements in technologies. 5 Information Classification: General 3) The textbook will include practical use-case scenarios using software that is also used in Industry (e.g., Altair Winprop). 4) The textbook will also present an introduction into Machine Learning techniques for Internet of Things with practical use case scenarios using Phyton, TensorFlow and Jupiter. 5) The textbook will also introduce the reader to key enabling technologies and concepts, like Digital Twins.

C-RAN and virtualized Small Cell technology poses several major research challenges. These include dynamic resource allocation, self-configuration in the baseband pool, high latency in data transfer between radio unit and baseband unit, the cost of data delivery, high volume of data in the network, software networking aspects, potential energy savings, security concerns, privacy of user's personal data at a remote place, limitations of virtualized environment, etc. This book provides deeper insights into the next generation RAN architecture and surveys the coexistence of SDN, C-RAN and Small Cells solutions proposed in the literature at different levels.

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

In the ever-evolving telecommunication industry, smart mobile computing devices have become increasingly affordable and powerful, leading to significant growth in the number of advanced mobile users and their bandwidth demands. Due to this increasing need, the next generation of wireless networks needs to enable solutions to bring together broadband, broadcast, and cellular technologies for global consumers. Paving the Way for 5G Through the Convergence of Wireless Systems provides innovative insights into wireless networks and cellular coexisting solutions that aim at paving the way towards 5G. Through examining data offloading, cellular technologies, and multi-edge computing, it addresses coexistence problems at different levels (i.e., physical characteristics, open access, technology-neutrality, economic characteristics, healthcare, education, energy, etc.), influencing networks to provide solutions for next generation wireless networks. Bridging research and practical solutions, this comprehensive reference source is ideally designed for graduate-level students, IT professionals and technicians, engineers, academicians, and researchers.

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

In the ever-evolving telecommunication industry, smart mobile computing devices have become increasingly affordable and powerful, leading to significant growth in the number of advanced mobile users and their bandwidth demands. Due to this increasing need, the next generation of wireless networks needs to enable solutions to bring together broadband, broadcast, and cellular technologies for global consumers. Paving the Way for 5G Through the Convergence of Wireless Systems provides innovative insights into wireless networks and cellular coexisting solutions that aim at paving the way towards 5G. Through examining data offloading, cellular technologies, and multi-edge computing, it addresses coexistence problems at different levels (i.e., physical characteristics, open access, technology-neutrality, economic characteristics, healthcare, education, energy, etc.), influencing networks to provide solutions for next generation wireless networks. Bridging research and practical solutions, this comprehensive reference source is ideally designed for graduate-level students, IT professionals and technicians, engineers, academicians, and researchers.

In the ever-evolving telecommunication industry, technological improvements alone are not able to keep up with the significant growth of mobile broadband traffic. As such, new research on communications networks is necessary to keep up with rising demand. Convergence of Broadband, Broadcast, and Cellular Network Technologies addresses the problems of broadband, broadcast, and cellular coexistence, including the increasing number of advanced mobile users and their bandwidth demands. This book will serve as a link between academia and industry, serving students, researchers, and industry professionals.

Wireless technology has expanded rapidly as a field over recent years, especially in mobile and distance technologies, and collaboration over networks demands increases in speed, security, and reliability. Wireless Multi-Access Environments and Quality of Service Provisioning: Solutions and Application serves as a vital resource for practitioners to learn about the latest research and methodology within the field of wireless technology. This book covers important aspects of emerging technologies in the heterogeneous next generation network environment with focus on wireless communications and their quality. It presents network selection mechanisms, handover solutions and adaptive techniques, and identifies the research issues and challenges and presents a survey of the proposed solutions in the literature. It includes important chapters written by researchers from prestigious laboratories from Australia, China, Mexico, Portugal, Greece, Germany, the United Kingdom, and India, presenting the current advancements in wireless communications.