The purpose of this book is to provide tools for a better understanding
of the fundamental tradeo's and interdependencies in wireless networks,
with the goal of designing resource allocation strategies that exploit
these int- dependencies to achieve signi?cant performance gains. Two
facts prompted us to write it: First, future wireless applications will
require a fundamental understanding of the design principles and control
mechanisms in wireless networks. Second, the complexity of the network
problems simply precludes the use of engineering common sense alone to
identify good solutions, and so mathematics becomes the key avenue to
cope with central technical problems in the design of wireless networks.
In this book, two ?elds of mathematics play a central role:
Perron-Frobenius theory for non-negative matrices and optimization
theory. This book is a revised and expanded version of the research
monograph "Resource Allocation in Wireless Networks" that was published
as Lecture Notes in Computer Sciences (LNCS 4000) in 2006. Although the
general structure has remained unchanged to a large extent, the book
contains - merous additional results and more detailed discussion. For
instance, there is a more extensive treatment of general nonnegative
matrices and interf- ence functions that are described by an axiomatic
model. Additional material on max-min fairness, proportional fairness,
utility-based power control with QoS (quality of service) support and
stochastic power control has been added.