http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Mobile and wireless communications with practical use case scenarios
1 online resource (xvii, 327 pages) : illustrations (chiefly color)
"The growing popularity of advanced multimedia-rich applications along with the increasing affordability of high-end smart mobile devices has led to a massive growth in mobile data traffic that puts significant pressure on the underlying network technology. However, no single network technology will be equipped to deal with this explosion of mobile data traffic. While wireless technologies had a spectacular evolution over the past years, the present trend is to adopt a global heterogeneous network of shared standards that enables the provisioning of Quality of Service and Quality of Experience to the end-user. To this end, enabling technologies like Machine Learning, Internet of Things, Digital Twins, are seen as promising solutions for next generation networks that will enable an intelligent adaptive interconnected environment with support for prediction and decision making so that the heterogeneous applications and users requirements can be highly satisfied. The aim of this textbook is to provide the readers with a comprehensive technical foundation of the mobile communication systems and wireless network design, operations and applications of various radio access technologies. Additionally, it also introduces the reader to the latest advancements in technologies in terms of Internet of Things ecosystem, Machine Learning and Digital Twins for IoT-enabled intelligent environments. Furthermore, this textbook also includes practical use-case scenarios using Altair WinProp Software as well as Phyton, TensorFlow and Jupiter as support for practice-based laboratory sessions"--
The Wireless Vision -- Wireless Transmission Fundamentals -- Radio Propagation -- The Cellular Concept and Evolution -- Satellite Communications -- Wireless Evolution -- Intelligent Environments and Internet of Things.
Includes bibliographical references and index.
Dr. Ramona Trestian is a Senior Lecturer with the Design Engineering and Mathematics Department, Faculty of Science and Technology, Middlesex University, London, UK. She was previously an IBM-IRCSET Exascale Postdoctoral Researcher with the Performance Engineering Laboratory (PEL) at Dublin City University (DCU), Ireland. She was awarded the PhD from Dublin City University in March 2012 and the B.Eng. in Telecommunications from Technical University of Cluj-Napoca, Romania, 2007. She has published in prestigious international conferences and journals and has five edited books. Her research interests include mobile and wireless communications, quality of experience, multimedia systems, Industry 4.0 and digital twin modelling. She is an Associate Editor of the IEEE Communications Surveys and Tutorials.
COMPUTERS / Data Transmission Systems / Wireless