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This lecture discusses the use of graph models to represent
reconfigurable antennas. The rise of antennas that adapt to their
environment and change their operation based on the user's request
hasn't been met with clear design guidelines. There is a need to
propose some rules for the optimization of any reconfigurable
antenna design and performance. Since reconfigurable antennas are
seen as a collection of self-organizing parts, graph models can be
introduced to relate each possible topology to a corresponding
electromagnetic performance in terms of achieving a characteristic
frequency of operation, impedance, and polarization. These models
help designers understand reconfigurable antenna structures and
enhance their functionality since they transform antennas from
bulky devices into mathematical and software accessible models. The
use of graphs facilitates the software control and cognition
ability of reconfigurable antennas while optimizing their
performance. This lecture also discusses the reduction of
redundancy, complexity and reliability of reconfigurable antennas
and reconfigurable antenna arrays. The full analysis of these
parameters allows a better reconfigurable antenna implementation in
wireless and space communications platforms. The use of graph
models to reduce the complexity while preserving the reliability of
reconfigurable antennas allow a better incorporation in
applications such as cognitive radio, MIMO, satellite
communications, and personal communication systems. A swifter
response time is achieved with less cost and losses. This lecture
is written for individuals who wish to venture into the field of
reconfigurable antennas, with a little prior experience in this
area, and learn how graph rules and theory, mainly used in the
field of computer science, networking, and control systems can be
applied to electromagnetic structures. This lecture will walk the
reader through a design and analysis process of reconfigurable
antennas using graph models with a practical and theoretical
outlook.
This one-of-a-kind new resource presents cognitive radio from an
antenna design perspective and introduces the concept of cognitive
radio as a protocol that benefits from under-utilized regions of
the spectrum. This book covers topics that govern the operation of
a cognitive radio and discusses the use of reconfigurable antennas,
reconfigurable filtennas, and MIMO antennas for cognitive radio.
The analysis and design of different antenna systems are presented,
compared and evaluated. New approaches to improve spectrum
efficiency are explored by demonstrating how to design software
controlled cognitive radio antenna systems. This new resource shows
how to communicate using either interweave or underlay cognitive
radio and demonstrates the benefits of designing appropriate
sensing and communicating antennas.
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