Fundamentals of Resource Allocation in Wireless Networks

Stanczak, Slawomir; Wiczanowski, Marcin; Boche, Holger

ISBN 10: 364224260X / ISBN 13: 9783642242601

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2011

About this Item

Future wireless networks will be integrated into every aspect of daily life. Therefore, the main objective of this book is to provide tools for better understanding the fundamental tradeoffs and interdependencies in wireless networks. Series: Foundations in Signal Processing, Communications and Networking. Num Pages: 320 pages, 30 black & white illustrations, biography. BIC Classification: PBF; PBW; TJF; UT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 23. Weight in Grams: 684. . 2011. Softcover reprint of hardcover 2nd ed. 2008. Paperback. . . . .

Seller Inventory # V9783642242601

Bibliographic Details

• Title: Fundamentals of Resource Allocation in Wireless Networks
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Publication Date: 2011
• Language: English
• ISBN 10: 364224260X
• ISBN 13: 9783642242601
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

From the Back Cover

The wireless industry is in the midst of a fundamental shift from providing voice-only services to offering customers an array of multimedia services, including a wide variety of audio, video and data communications capabilities. Future wireless networks will be integrated into every aspect of daily life, and therefore could affect our life in a magnitude similar to that of the Internet and cellular phones.

This monograph demonstrates that these emerging applications and directions require fundamental understanding on how to design and control wireless networks that lies far beyond what the currently existing theory can provide. It is shown that mathematics is the key technology to cope with central technical problems in the design of wireless networks since the complexity of the problem simply precludes the use of engineering common sense alone to identify good solutions.

The main objective of this book is to provide tools for better understanding the fundamental tradeoffs and interdependencies in wireless networks, with the goal of designing resource allocation strategies that exploit these interdependencies to achieve significant performance gains. The book consists of three largely independent parts: theory, applications and appendices. The latter contain foundational aspects to make the book more understandable to readers who are not familiar with some basic concepts and results from linear algebra and convex analysis.