Dynamic Spectrum Access for Wireless Networks
This SpringerBrief presents adaptive resource allocation schemes for secondary users for dynamic spectrum access (DSA) in cognitive radio networks (CRNs) by considering Quality-of-Service requirements, admission control, power/rate control, interference c
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Danda B. Rawat Min Song Sachin Shetty
Dynamic Spectrum Access for Wireless Networks
123
SpringerBriefs in Electrical and Computer Engineering
More information about this series at http://www.springer.com/series/10059
Danda B. Rawat • Min Song • Sachin Shetty
Dynamic Spectrum Access for Wireless Networks
123
Danda B. Rawat Department of Electrical Engineering Georgia Southern University Statesboro, GA, USA
Min Song Department of Computer Science Michigan Technological University Houghton, MI, USA
Sachin Shetty Department of Electrical and Computer Engineering Tennessee State University Nashville, TN, USA
ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISBN 978-3-319-15298-1 ISBN 978-3-319-15299-8 (eBook) DOI 10.1007/978-3-319-15299-8 Library of Congress Control Number: 2015931510 Springer Cham Heidelberg New York Dordrecht London © The Author(s) 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
To Our Families
Preface
Wireless communication is the fastest growing sector of the communication industry because of the invention of smartphones and successful deployment of Wi-Fi and cellular networks. Users have anywhere, anytime connectivity to the Internet using their devices. In the Internet of Things (IoT) era, with the increasing number of subscriptions, wireless traffic is increasing exponentially. Spectrum scarcity problem created by static radio frequency (RF) allocation policy will worsen when billions of devices are connected to the Internet. Thus, dynamic spectrum access using software-defined radios (aka cognitive radio networks) could solve the artificial spectrum scarcity problem by allowing unlicensed users to access licensed bands opportunistically. To fully realize dynamic spectrum access in cognitive radio networks, there are policy level as well as technical
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