xiv Preface
researchers in both academia and industry, and engineers in the wireless industry, as
well as from spectrum policy makers.
Design, analysis, and optimization of dynamic spectrum access require multidis-
ciplinary knowledge, namely, knowledge of wireless communication and networking,
signal processing, artificial intelligence (e.g. for learning), decision theory, optimization,
and economic theory. A comprehensive introduction to the dynamic spectrum access
and spectrum management problem in a cognitive radio network therefore needs to cover
the basic concepts/theories for designing dynamic spectrum access methods as well as
state-of-the-art of dynamic spectrum access and management methods.
This book provides a comprehensive treatment of the dynamic spectrum access and
spectrum management problem in cognitive radio networks. The topics covered include
the following: introduction to cognitive radio and the basic concepts of dynamic spectrum
access; the analysis, design, and optimization of dynamic spectrum access techniques
for cognitive radio; and state-of-the-art of dynamic spectrum access techniques. The key
features of this book are as follows:
r
a unified view of dynamic spectrum access for cognitive radio networks,
r
coverage of a wide range of techniques for design, analysis, and optimization of
dynamic spectrum access for cognitive radio networks,
r
comprehensive treatment of state-of-the-art dynamic spectrum access techniques, and
r
outlining the key research issues related to dynamic spectrum access.
The book is divided into three parts: Part I (Introduction), Part II (Techniques for
design, analysis, and optimization of dynamic spectrum access and management), and
Part III (Dynamic spectrum access and management). Part I comprises Chapters 1 and
2, which provide an introduction to the different wireless technologies and cognitive
radio networks. The topics covered include the basics of cellular wireless, wireless local
area network (WLAN), wireless metropolitan area network (WMAN), wireless personal
area network (WPAN), wireless regional area network (WRAN) technology and related
standards; the basic components, features, and potential applications of cognitive radio;
an introduction to dynamic spectrum access; the motivations for cognitive radio-based
wireless access technology; and the research issues in the different layers of the protocol
stack for a cognitive radio network.
In Part II, different techniques which can be applied to the problem of the design,
analysis, and optimization of dynamic spectrum access mechanisms in cognitive radio
networks are introduced. In Chapter 3, the signal processing techniques (e.g. techniques
for parameter estimation, filtering, and prediction) which are required for a wireless node
to observe and gain knowledge of the ambient radio environment in order to access the
radio spectrum dynamically are described. Optimization techniques, which are useful
to obtain the optimal dynamic spectrum management scheme, are discussed in Chap-
ter 4. Major variations of optimization techniques (e.g. unconstrained and constrained
optimization, non-linear optimization, combinatorial optimization) are presented. Also,
stochastic optimization based on dynamic programming, the Markov decision process
(MDP), and stochastic programming for dynamic spectrum access in a random radio
environment are discussed. In Chapter 5, game theory techniques are discussed in the