The key to a successful future mobile communication system lies in the design of its radio scheduler. One of the key challenges of the radio scheduler is how to provide the right balance between Quality of Service (QoS) guarantees and the overall system performance. Yasir Zaki proposes innovative solutions for the design of the Long Term Evolution (LTE) radio scheduler and presents several LTE radio scheduler analytical models that can be used as efficient tools for radio dimensioning. The author also introduces a novel wireless network virtualization framework and highlights the potential gains of using this framework for the future network operators. This framework enables the operators to share their resources and reduce their cost, thus achieving a better overall system performance and radio resource utilization.
The Fifth Generation (5G) of Wireless Communication is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Electrical and Electronic Engineering. The book comprises single chapters authored by various researchers and edited by an expert active in the Electrical and Electronic Engineering research area. All chapters are complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on the fifth generation (5G) of wireless communication, and open new possible research paths for further novel developments.
UMTS (Universal Mobile Telecommunication System) bezieht sich auf die 3. Generation mobiler Kommunikationssysteme. Die Mobilkommunikation der Zukunft wird unseren Alltag und unsere Arbeit nachhaltig verändern: Sie gibt uns die Möglichkeit, zu jeder Zeit, an jedem Ort und auch während der Fahrt zu kommunizieren und bietet verschiedene Dienstleistungen an, die bislang nur Festnetznutzern zur Verfügung standen. Die Mobilsysteme der 3. Generation (IMT-2000) werden ab 2001 in Japan und ab 2002 in allen übrigen Ländern auf den Markt kommen. Bis Ende 2003 wird es mehr als eine Milliarde mobiler Terminals weltweit geben.
The definitive assessment of how wireless communications will evolve over the next 20 years. Predicting the future is an essential element for almost everyone involved in the wireless industry. Manufacturers predict the future when they decide on product lines to develop or research to undertake, operators when they buy licences and deploy networks, and academics when they set PhD topics. Wireless Communications: The Future provides a solid, clear and well-argued basis on which to make these predictions. Starting with a description of the current situation and a look at how previous predictions made in 2000 have fared, the book then provides the contributions of six eminent experts from across the wireless industry. Based on their input and a critical analysis of the current situation, it derives detailed forecasts for 2011 through to 2026. This leads to implications across all of the different stakeholders in the wireless industry and views on key developments. Presents clear and unambiguous predictions, not a range of scenarios from which the user has to decide Includes chapters covering existing wireless systems which provide solid tutorial material across a wide range of wireless devices Offers a range of views of the future from high profile contributors in various areas of the industry and from around the globe, including contributions from Vodafone and Motorola Provides a comprehensive guide to current technologies, offering keen analysis of key drivers, end user needs and key economic and regulatory constraints This book, compiled by a renowned author with a track record of successful prediction, is an essential read for strategists working for wireless manufacturers, wireless operators and device manufacturers, regulators and professionals in the telecoms industry, as well as those studying the topic or with a general interest in the future of wireless communications.
This book provides a preview of emerging wireless technologies and their architectural impact on the future mobile Internet. The reader will find an overview of architectural considerations for the mobile Internet, along with more detailed technical discussion of new protocol concepts currently being considered at the research stage. The first chapter starts with a discussion of anticipated mobile/wireless usage scenarios, leading to an identification of new protocol features for the future Internet. This is followed by several chapters that provide in-depth coverage of next-generation wireless standards, ad hoc and mesh network protocols, opportunistic delivery and delay tolerant networks, sensor network architectures and protocols, cognitive radio networks, vehicular networks, security and privacy, and experimental systems for future Internet research. Each of these contributed chapters includes a discussion of new networking requirements for the wireless scenario under consideration, architectural concepts and specific protocol designs, many still at research stage.
There is a growing body of interesting research exploring the social shaping of mobile phones, covering a wide range of topics, from new forms of communication, to the changes in time organization, the uses of public places, the display of emotions and the formation and sustaining of communities. This book evaluates the launch and adoption of mobile phones, drawing out lessons for the future. In particular, it explores how social scientists can collaborate with designers and engineers in the development of new devices and uses. It will interest people from both industry and academia. Those working in the mobile communications industry in strategy, design and marketing will find this book of particular interest. In academia, undergraduate and postgraduate students, as well as researchers in a wide range of social science fields will find it a useful reference: sociologists, economists, psychologists in areas such as Science and Technology studies; Cultural studies and New Media studies.
5G Outlook - Innovations and Applications is a collection of the recent research and development in the area of the Fifth Generation Mobile Technology (5G), the future of wireless communications. Plenty of novel ideas and knowledge of the 5G are presented in this book as well as divers applications from health science to business modeling. The authors of different chapters contributed from various countries and organizations. The chapters have also been presented at the 5th IEEE 5G Summit held in Aalborg on July 1, 2016. The book starts with a comprehensive introduction on 5G and its need and requirement. Then millimeter waves as a promising spectrum to 5G technology is discussed. The book continues with the novel and inspiring ideas for the future wireless communication usage and network. Further, some technical issues in signal processing and network design for 5G are presented. Finally, the book ends up with different applications of 5G in distinct areas. Topics widely covered in this book are: 5G technology from past to present to the futureMillimeter- waves and their characteristicsSignal processing and network design issues for 5GApplications, business modeling and several novel ideas for the future of 5G
Since the launch of Second-Generation Networks (2G), planning for each future mobile service was initiated many years before its commercial launch. In 2019, 5G Networks begun to be deployed commercially after almost ten years of planning. Similarly, the race for the 6G wireless networks that will be operational in 2030 has already started. To fulfill its potential in the upcoming decade, 6G will undoubtedly require an architectural orchestration based on the amalgamation of existing solutions and innovative technologies. The book will begin by evaluating the state of the art of all current mobile generations' while looking into their core building blocks. 6G implementation will require fundamental support from Artificial Intelligence (AI) and Machine Learning on the network's edge and core, including a new Radio Frequency (RF) spectrum. The 6G use cases will require advanced techniques for enabling the future wireless network to be human-centric, ensuring enhanced quality of experience (QoE) for most of its applications. The concept of Human Bond Communication Beyond 2050 (Knowledge Home) and Communication, Navigation, Sensing, and Services (CONASENSE) will also profit from future wireless communication. Terahertz domains will exploit the ultra-Massive Multiple Input Multiple Output Antennas (UM-MIMO) technologies to support Terabits' data throughputs.Moreover, optical wireless communications (OWC) will also come into play to support indoor and outdoor high-data rates. Further expansion of 6G core entities will support the novel concept of Society 5.0. Quantum computing processing and communications is also likely to be added into the 6G ecosystem with security managed by blockchain orchestration for a robust network.
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
The rapid growth in mobile communications has led to an increasing demand for wideband high data rate communications services. In recent years, the Distributed Antenna System (DAS) has emerged as a promising candidate beyond 3G and 4G mobile communications. Distributed Antenna Systems: Open Architecture for Future Wireless Communications is
