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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.
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