3rd Generation Partnership Project;
Technical Specification Group Radio Access Network;
Further advancements for E-UTRA;
LTE-Advanced feasibility studies in RAN WG4
(Release 9)
One of the very first books published on the social impact of the mobile phone
was Timo Kopomaa’s The City in Your Pocket: Birth of the Mobile Information Society.
The book, published in 2000, was based on research that Kopomaa had under-
taken for Nokia and Sonera as part of his doctoral studies in the Centre for Urban
and Regional studies at the Helsinki University of Technology. The first line he
writes in the book is peculiar: ‘Mobile communication is not a serious matter’. By
this, we assume he is referring to a view of the world that would regard the mobile
phone as little more than an unremarkable fact of everyday life – a simple play-
thing for the young, or a productivity tool for the business executive and busy
parent.
This paper covers the keynote address delivered by the
Chairman of the COST Action 285 at the Symposium. It outlines the
studies undertaken by the members of the Action with the objective of
enhancing existing modeling and simulation tools and to develop new ones
for research in emerging multiservice telecommunication networks. The
paper shows how the scope of COST Action 285 has been enriched by the
contributions made at the Symposium.
Part I provides a compact survey on classical stochastic geometry models. The basic models defined
in this part will be used and extended throughout the whole monograph, and in particular to SINR based
models. Note however that these classical stochastic models can be used in a variety of contexts which
go far beyond the modeling of wireless networks. Chapter 1 reviews the definition and basic properties of
Poisson point processes in Euclidean space. We review key operations on Poisson point processes (thinning,
superposition, displacement) as well as key formulas like Campbell’s formula. Chapter 2 is focused on
properties of the spatial shot-noise process: its continuity properties, its Laplace transform, its moments
etc. Both additive and max shot-noise processes are studied. Chapter 3 bears on coverage processes,
and in particular on the Boolean model. Its basic coverage characteristics are reviewed. We also give a
brief account of its percolation properties. Chapter 4 studies random tessellations; the main focus is on
Poisson–Voronoi tessellations and cells. We also discuss various random objects associated with bivariate
point processes such as the set of points of the first point process that fall in a Voronoi cell w.r.t. the second
point process.
The use of optical free-space emissions to provide indoor wireless commu-
nications has been studied extensively since the pioneering work of Gfeller
and Bapst in 1979 [1]. These studies have been invariably interdisciplinary in-
volving such far flung areas such as optics design? indoor propagation studies?
electronics design? communications systems design among others. The focus
of this text is on the design of communications systems for indoor wireless
optical channels. Signalling techniques developed for wired fibre optic net-
works are seldom efficient since they do not consider the bandwidth restricted
nature of the wireless optical channel.
Dear Reader, this book project brings to you a unique study tool for ESD
protection solutions used in analog-integrated circuit (IC) design. Quick-start
learning is combined with in-depth understanding for the whole spectrum of cross-
disciplinary knowledge required to excel in the ESD field. The chapters cover
technical material from elementary semiconductor structure and device levels up
to complex analog circuit design examples and case studies.
This book is written for engineers involved in the operation, control, and
planning of electric power systems. In addition, the book provides information and
tools for researchers working in the fields of power system security and stability. The
book consists of two volumes. The first volume provides traditional techniques for the
stability analysis of large scale power systems. In addition, an overview of the main
drivers and requirements for modernization of the traditional methods for online
applications are discussed. The second volume provides techniques for online security
assessment and corrective action studies. In addition, the impact of variable generation
on the security of power systems is considered in the second volume. The first volume
may be considered as a background builder while the second volume is intended for
the coverage of edge techniques and methods for online dynamic security studies.
The continuous progress in modern power device technology is increasingly
supported by power-specific modeling methodologies and dedicated simulation
tools. These enable the detailed analysis of operational principles on the the device
and on the system level; in particular, they allow the designer to perform trade-
off studies by investigating the operation of competing design variants in a very
early stage of the development process. Furthermore, using predictive computer
simulation makes it possible to analyze the device and system behavior not only
under regularoperatingconditions, but also at the rim of the safe-operatingarea and
beyond of it, where destructive processes occur that limit the lifetime of a power
system.
My association with the theory of controls in continuous time started during my studies at
the Indian Institute of Technology, Kharagpur, India, in 1974 as an undergraduate student
in the Controls and Power program. The initial introduction by Professors Kesavamurthy,
Y. P. Singh, and Rajagopalan laid the foundation for a good basic understanding of the
subject matter. This pursuit and further advanced study in the field of digital controls
continued during my days as a graduate student in the Electrical and Systems Engineering
Department at the University of Connecticut in Storrs, from 1983 to 1988.
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.
