This book aims to fill a growing need in the research community for a reference that describes the state-of-the-art in securing group communications. It focuses on tailoring the security solution to the underlying network architecture (such as the wireless cellular network or the ad hoc/sensor network), or to the application using the security methods (such as multimedia multicasts).

Group-oriented communications will play a significant role in the next generation of networks as many services, such as pay-per-view media broadcasts and the delivery of network control messages, will rely upon the ability to reliably deliver data simultaneously to a large group of users. As these networks become increasingly pervasive and these multi-user services become increasingly ubiquitous, it will become essential that a complementary suite of security solutions are deployed in order to protect these services from a broad spectrum of security threats that are unique to group communications.

With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.

In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services.

Presenting the fundamentals of cooperative communications and networking, this book treats the concepts of space, time, frequency diversity and MIMO, with a holistic approach to principal topics where significant improvements can be obtained. Beginning with background and MIMO systems, Part I includes a review of basic principles of wireless communications and space-time diversity and coding. Part II then presents topics on physical layer cooperative communications such as relay channels and protocols, performance bounds, multi-node cooperation, and energy efficiency. Finally, Part III focuses on cooperative networking including cooperative and content-aware multiple access, distributed routing, source-channel coding, and cooperative OFDM. Including end-of-chapter review questions, this text will appeal to graduate students of electrical engineering and is an ideal textbook for advanced courses on wireless communications. It will also be of great interest to practitioners in the wireless communications industry. Presentation slides for each chapter and instructor-only solutions are available at www.cambridge.org/9780521895132.

Do you need to improve wireless system performance? Learn how to maximise the efficient use of resources with this systematic and authoritative account of wireless resource management. Basic concepts, optimization tools and techniques, and application examples, are thoroughly described and analysed, providing a unified framework for cross-layer optimization of wireless networks. State-of-the-art research topics and emerging applications, including dynamic resource allocation, cooperative networks, ad hoc/personal area networks, UWB, and antenna array processing, are examined in depth. If you are involved in the design and development of wireless networks, as a researcher, graduate student or professional engineer, this is a must-have guide to getting the best possible performance from your network.

This reference/text discusses a novel compressed-domain approach for designing and implementing digital video coding systems-drastically different from the traditional hybrid approach-and demonstrates how the combination of discrete cosine transform (DCT) coders and motion compensated (MC) units reduces power consumption and hardware complexity, covering fundamental concepts, algorithms, contemporary standards, and applications in SONET optical transcoders. Describes various MC-DCT video coding standards for H.261, H.263, MPEG-1, MPEG-2, MPEG-4, and HDTV Presenting an original approach for complete transform-domain video coding architecture, Design of Digital Video Coding Systems identifies bottlenecks inherent in conventional hybrid block-based motion compensated encoder structures used for all video coding standards develops new compressed-domain coder architecture to circumvent bottlenecks gives integer-pel and sub-pixel DCT-based motion estimation/compensation algorithms for compressed-domain video coder structures estimates displacements of half- and quarter-pel accuracy without image interpolation supplies time-recursive lattice structures to generate DCT coefficients fast and efficiently includes look-ahead, multirate, pipelining, and folding techniques in the design of video coders provides a joint source-channel multistream video coding scheme to combat transmission errors for access networks devises rules that allow pairing conventional hybrid and compressed domain video codecs and more Design of Digital Video Coding Systems is a top-shelf reference for electrical and electronics, signal, image, video processing, computer circuit and systems, digital design, and communication engineers, and an exceptional text for upper-level undergraduate and graduate students in these disciplines.