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The past two decades have witnessed the introduction and unprecedented growth of cellular
mobile telephony and wireless communications. Numerous wireless access technologies
have been introduced in the mobile communications market. While some have flourished
and formed the basis of Successful manufacturing and network operator businesses, many
have lived only for a short time and disappeared.
In the nineteenth century, scientists, mathematician, engineers and innovators started
investigating electromagnetism. The theory that underpins wireless communications was
formed by Maxwell. Early demonstrations took place by Hertz, Tesla and others. Marconi
demonstrated the first wireless transmission. Since then, the range of applications has
expanded at an immense rate, together with the underpinning technology. The rate of
development has been incredible and today the level of technical and commercial maturity
is very high. This success would not have been possible without understanding radio-
wave propagation. This knowledge enables us to design Successful systems and networks,
together with waveforms, antennal and transceiver architectures. The radio channel is the
cornerstone to the operation of any wireless system.
The last decade proved to be hugely Successful for the mobile communications industry,
characterised by continued and rapid growth in demand, spurred on by new technological
advances and innovative marketing techniques. Of course, when we refer to mobile commu-
nications, we tend to implicitly refer to cellular systems, such as GSM. The plight of the
mobile-satellite industry over the last decade, although eventful, has, at times, been more akin
to an out of control roller coaster ride.
The ability to analyze system or circuit behavior is one of the key requirements for
Successful design. To put an idea to work, a designer needs both the knowledge
and tools for analyzing the behavior of that new system architecture or that experi-
mental circuit topology. Design decisions are grounded on the results obtained from
analysis.
In order to enhance the efficiency and reliability of the power grid, diversify energy
resources, improve power security, and reduce greenhouse gas emission, many
countries have been putting great efforts in designing and constructing their smart
grid(SG) infrastructures.Smart gridcommunicationsnetwork(SGCN) is oneof the
key enabling technologies of the SG. However, a Successful implementation of an
efficient and cost-effective SGCN is a challenging task
Recent years have seen a rapid development of neural network control tech-
niques and their Successful applications. Numerous simulation studies and
actual industrial implementations show that artificial neural network is a good
candidate for function approximation and control system design in solving the
control problems of complex nonlinear systems in the presence of different kinds
of uncertainties. Many control approaches/methods, reporting inventions and
control applications within the fields of adaptive control, neural control and
fuzzy systems, have been published in various books, journals and conference
proceedings.
