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The aim of this thesis is to introduce a non-stationary model for the scattering in mobile-to-mobile channels. Due to the evolution of wireless technology, fixed-to-mobile communications systems are nowadays complemented by mobile-to-mobile communications systems. In the vehicular sector, mobile-to-mobile communications systems are used to enable intelligent transportation systems. Such systems aim to make transportation safer and more efficient by distributing sensor information among the cars. In the aeronautical sector, mobile-to-mobile communications systems will be used, for example, to exchange position, altitude, speed, and heading data between aircraft during flight thus allowing for a reduced separation between them. Hence, these systems are necessary to further increase the air traffic density.
Zur Kapazitätserhöhung in zellularen Mobilfunksystemen eignet sich der Einsatz adaptiver Antennen an der Basisstation. Diese ermöglichen die räumliche Wiederverwendung von Kanälen innerhalb einer Zelle mittels Space Division Multiple Access (SDMA). Die Kapazitätsgewinne, die mit SDMA zu erzielen sind, hängen jedoch stark von den verwendeten Verfahren des Ressourcen Managements (RM) ab. Hierzu wurden neuartige RM-Verfahren für SDMA-Systeme entwickelt, welche die räumliche Kanalwiederverwendung innerhalb der Zelle mit verschiedenen Prinzipien der interzellularen Kanalvergabe (statische und dynamische) kombinieren. Zudem wurden die entwickelten Verfahren erweitert, um auch in hierarchisch strukturierten zellularen Netzen eingesetzt werden zu können. In ausführlichen Systemsimulationen konnte gezeigt werden, dass die neuen RM-Verfahren eine Vervielfachung der Systemkapazität mit Hilfe von SDMA ermöglichen. Zusätzlich werden analytische Modelle entwickelt und ausgewertet, die den Gewinn von Verfahren vorhersagen, welche die durch die Verwendung adaptiver Antennen reduzierte Inter-Zell-Interferenz ausnutzen (Spatial Filtering for Interference Reduction-SFIR), dies wird sowohl für F/TDMA basierte Systeme als auch für CDMA Systeme analysiert.
This exceptional book introduces the reader to the principles, theory and applications of physical layer wireless/mobile communications, applicators and millimetric antennas.
This book delves into the fundamental characteristics, measurement techniques, modeling methods, and theories of wireless channels in mobile scenarios. Unlike wired communication systems, which are more predictable, wireless communication systems are significantly affected by radio propagation and wireless channels. By investigating the mechanisms of wireless channels and measurement techniques, this book aims to better understand wireless communication systems in order to optimize the quality and design of wireless communications. The title covers key topics in the field, including basic theory of radio wave propagation and non-stationary channels, theory and method of time-varying channel measurement, measurement case analysis, wireless channel modeling theory and parameter extraction method, rail traffic channel measurement and modeling, and dynamic modeling and simulation method of time-varying channels. This book is suitable for researchers and students interested in radio wave propagation, wireless channels and mobile communication systems. It can also serve as a useful guide for technical professionals who have a background in mobile communication technology.
In the last decades the restless evolution of information and communication technologies (ICT) brought to a deep transformation of our habits. The growth of the Internet and the advances in hardware and software implementations modified our way to communicate and to share information. In this book, an overview of the major issues faced today by researchers in the field of radio communications is given through 35 high quality chapters written by specialists working in universities and research centers all over the world. Various aspects will be deeply discussed: channel modeling, beamforming, multiple antennas, cooperative networks, opportunistic scheduling, advanced admission control, handover management, systems performance assessment, routing issues in mobility conditions, localization, web security. Advanced techniques for the radio resource management will be discussed both in single and multiple radio technologies; either in infrastructure, mesh or ad hoc networks.
This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020, held in Shenzhen, China, in September 2020. Due to COVID-19 pandemic the conference was held virtually. The 55 revised full papers were carefully selected from 133 submissions. The papers are organized thematically in intelligent resource ( spectrum, power) allocation schemes; applications of neural network and deep learning; decentralized learning for wireless communication systems; intelligent antennas design and dynamic configuration; intelligent communications; intelligent positioning and navigation systems; smart unmanned vehicular technology; intelligent space and terrestrial integrated networks; machine learning algorithm and Intelligent networks.
The textbook acquaints the reader with the architecture of receivers of analog and digital radio systems, helps to study the stages of designing a modern radio receiver and reveals the reasons and methods for its effective operation in networks for various purposes. Particular attention is paid to the methods of generating and processing signals in the receivers of digital systems with multiple access, which make it possible to provide data transfer rates close to the maximum possible (according to Shannon). As a textbook for students studying methods of optimal signal reception, the book will also be useful to specialists in the field of telecommunications involved in the development of radio receivers. The book shows how the development of theoretical, circuitry and integrated technologies led to the active introduction of algorithmic methods for signal processing changed both the design of receivers and the methods of forming the information flow in free space (MIMO, beamforming). The creation of a global 5G network based on heterogeneous networks puts forward new requirements for the architecture of receivers, which are determined by the requirements to achieve high data rates, low time delays or use in networks with coordinated multipoint transmission and reception (CoMP). To consolidate the knowledge gained, the book includes a complete set of materials for online classes, including questions and answers, a guide to solving problems for each chapter, and computer modeling units of receivers in the MicroCAP environment, based on preliminary calculations.
This book addresses the fundamental design and technical challenges for fifth generation (5G) wireless channel models, including multi-frequency bands and multi-scenarios. The book presents a strong vision for 5G wireless communication networks based on current market trends, proven technologies, and future directions. The book helps enable researchers and industry professionals to come up with novel ideas in the area of wireless heterogeneity, to minimize traffic accidents, to improve traffic efficiency, and to foster the development of new applications such as mobile infotainment. The book acts as a comprehensive reference for students, instructors, researchers, engineers, and other professionals, building their understanding of 5G and in designing 5G systems. Addresses fundamental design and technical challenges for 5G wireless channel models; Presents how to create reliable statistical channel models to capture the propagation properties between transmitters and receivers; Pertinent to researchers, engineers, and professionals in 5G.
For broadband communications, it was frequency division multiplexing. For optical communications, it was wavelength division multiplexing. Then, for all types of networks it was code division. Breakthroughs in transmission speed were made possible by these developments, heralding next-generation networks of increasing capability in each case. The basic idea is the same: more channels equals higher throughput. For wireless communications, it is space-time coding using multiple-input-multiple-output (MIMO) technology. Providing a complete treatment of MIMO under a single cover, MIMO System Technology for Wireless Communications assembles coverage on all aspects of MIMO technology along with up-to-date information on key related issues. Contributors from leading academic and industrial institutions around the world share their expertise and lend the book a global perspective. They lead you gradually from basic to more advanced concepts, from propagation modeling and performance analysis to space-time codes, various systems, implementation options and limitations, practical system development considerations, field trials, and network planning issues. Linking theoretical analysis to practical issues, the book does not limit itself to any specific standardization or research/industrial initiatives. MIMO is the catalyst for the next revolution in wireless systems, and MIMO System Technology for Wireless Communications lays a thorough and complete foundation on which to build the next and future generations of wireless networks.