Taking an applications-oriented view, this unique volume delivers a forward-looking roadmap to military communications. This hands-on reference offers military and security technology practitioners insights into the key issues related to long-term development within the battlefield communications area. The book presents the technological alternatives for communication in the battlefield in unexpected situations and environments. This authoritative resource discusses unstructured formations of actors using a holistic approach that considers key capability requirements. Professionals and officers learn how to prepare for the unexpected and start building agile, adaptive and cognitive systems that are needed in future operating environments. From scenario-based capability planning...to situational and context awareness...to unmanned ground and aerial platforms, this easy-to-understand book covers the critical topics that practitioners need to master to achieve top performance in the battlefield.
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.
In response to a request from the Defense Advanced Research Projects Agency, the committee studied a range of issues to help identify what strategies the Department of Defense might follow to meet its need for flexible, rapidly deployable communications systems. Taking into account the military's particular requirements for security, interoperability, and other capabilities as well as the extent to which commercial technology development can be expected to support these and related needs, the book recommends systems and component research as well as organizational changes to help the DOD field state-of-the-art, cost-effective untethered communications systems. In addition to advising DARPA on where its investment in information technology for mobile wireless communications systems can have the greatest impact, the book explores the evolution of wireless technology, the often fruitful synergy between commercial and military research and development efforts, and the technical challenges still to be overcome in making the dream of "anytime, anywhere" communications a reality.
This book emphasizes U.S. policy considerations in as much as the U.S. has been at the forefront of satellite technology and its application. It addresses the impact of the earlier U.S. policy of global monopoly on the development of international satellite systems.
Five years ago the world of agency communications turned upside down. Ogilvy introduced 360 degree thinking, Unilever formulated their ABC process, TBWA developed their Disruptive philosophy, and total communications planning was born. Now, total communications planning is being increasingly demanded by clients. The question is no longer where does the future lie, but how does an agency get there as quickly as possible? This book sets out to define the structure of tomorrow's agencies by interviewing the leading lights of the industry today. Jim Taylor, himself an experienced practitioner of Total Communications Planning, identifies common issues and themes to offer a set of likely scenarios for The Agencies of the Future.
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 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.
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.
