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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.
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