Advanced Sensing Techniques for Cognitive Radio

This SpringerBrief investigates advanced sensing techniques to detect and estimate the primary receiver for cognitive radio systems. Along with a comprehensive overview of existing spectrum sensing techniques, this brief focuses on the design of new signa

  • PDF / 2,792,168 Bytes
  • 85 Pages / 439.43 x 666.14 pts Page_size
  • 96 Downloads / 219 Views

DOWNLOAD

REPORT


Guodong Zhao Wei Zhang Shaoqian Li

Advanced Sensing Techniques for Cognitive Radio

123

SpringerBriefs in Electrical and Computer Engineering

More information about this series at http://www.springer.com/series/10059

Guodong Zhao • Wei Zhang • Shaoqian Li

Advanced Sensing Techniques for Cognitive Radio

123

Guodong Zhao University of Electronic Science and Technology of China Chengdu, China

Wei Zhang The University of New South Wales Sydney, NSW, Australia

Shaoqian Li University of Electronic Science and Technology of China Chengdu, China

Material for chapters 2–4 originated from previous works: Chapter 2 – L. Li, G. Zhao, and X. Zhou, “Enhancing small cell transmission opportunity through passive receiver detection in two-tier heterogeneous networks,” IEEE Trans. Signal Process., vol. 63, no. 13, pp. 3461-3473, Jul. 2015. Reprinted with permission from IEEE. Chapter 3 – G. Zhao, G. Li, and C. Yang, “Proactive detection of spectrum opportunities in primary systems with power control,” IEEE Trans. Wireless Commun., vol. 8, no. 9, pp. 4815–4823, Sept. 2009. Reprinted with permission from IEEE. Chapter 4 – G. Zhao, B. Huang, L. Li, and X. Zhou, “Relay-assisted cross-channel gain estimation for spectrum sharing,” IEEE Trans. Commun., vol. 64, no. 3, pp. 973–986, Mar. 2016. Reprinted with permission from IEEE.

ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISBN 978-3-319-42783-6 ISBN 978-3-319-42784-3 (eBook) DOI 10.1007/978-3-319-42784-3 Library of Congress Control Number: 2016948292 © The Author(s) 2017 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 exponential growth of wireless data services, the spectrum shortage becomes extremely severe. As a promising and new technology to break the spectrum gridlock, cognitive radio has received much at