Cooperative Cognitive Radio Networking System Model, Enabling Techni
This SpringerBrief examines the active cooperation between users of Cooperative Cognitive Radio Networking (CCRN), exploring the system model, enabling techniques, and performance.The brief provides a systematic study on active cooperation between primary
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Bin Cao · Qinyu Zhang · Jon W. Mark
Cooperative Cognitive Radio Networking
SpringerBriefs in Electrical and Computer Engineering
More information about this series at http://www.springer.com/series/10059
Bin Cao • Qinyu Zhang • Jon W. Mark
Cooperative Cognitive Radio Networking System Model, Enabling Techniques, and Performance
123
Bin Cao School of Electronic and Information Engineering Harbin Institute of Technology Shenzhen Graduate School Shenzhen, Guangdong, China
Qinyu Zhang School of Electronic and Information Engineering Harbin Institute of Technology Shenzhen Graduate School Shenzhen, Guangdong, China
Jon W. Mark Department of Electrical and Computer Engineering University of Waterloo Waterloo, ON, Canada
ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISBN 978-3-319-32879-9 ISBN 978-3-319-32881-2 (eBook) DOI 10.1007/978-3-319-32881-2 Library of Congress Control Number: 2016937362 © The Author(s) 2016 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
With the explosive proliferation of wireless services and applications, such as vehicular ad hoc networks, smart grid, and Internet of Things (IoT), the demand for radio spectrum has been skyrocketing. Since the amount of usable radio spectrum is finite, frequency bands and their usage are strictly managed and enforced by governmental organizations. Under this regulatory enforcement, spectrum is statically and exclusively allocated to dedicated networks on a license basis, i.e., only primary users (PUs) can access the assigned spectrum. Although interferences among different networks and devices can be efficiently coordinated by using fixed spectrum allocation, this policy causes significant spectral underutilization as measured and found in practical application environments. Besides the physical
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