Economics of Database-Assisted Spectrum Sharing
This book examines the interaction between the technical and economic issues in database-assisted dynamic spectrum networks. It explains various business models for different network settings, analyzing the user behaviors and system equilibrium under each
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Yuan Luo Lin Gao Jianwei Huang
Economics of Database-Assisted Spectrum Sharing
Wireless Networks Series editor Xuemin (Sherman) Shen University of Waterloo, Waterloo, Ontario, Canada
More information about this series at http://www.springer.com/series/14180
Yuan Luo Lin Gao Jianwei Huang •
•
Economics of Database-Assisted Spectrum Sharing
123
Yuan Luo Department of Information Engineering The Chinese University of Hong Kong Shatin Hong Kong
Jianwei Huang Department of Information Engineering The Chinese University of Hong Kong Shatin Hong Kong
Lin Gao Harbin Institute of Technology (Shenzhen) Shenzhen, Guangdong China
ISSN 2366-1186 Wireless Networks ISBN 978-3-319-43230-4 DOI 10.1007/978-3-319-43231-1
ISSN 2366-1445
(electronic)
ISBN 978-3-319-43231-1
(eBook)
Library of Congress Control Number: 2016946329 © Springer International Publishing Switzerland 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 growth of mobile devices and bandwidth-hungry applications, radio spectrum is becoming increasingly congested and scarce. Database-assisted dynamic spectrum sharing emerges as a promising technology for solving the problem of spectrum scarcity and congestion, by allowing unlicensed mobile devices to dynamically access the under-utilized licensed spectrum resources through the assistance of a database. This database-assisted spectrum-sharing network architecture has received wide and enthusiastic support, not only from spectrum regulators (e.g., FCC in the USA and Ofcom in the UK), but also from standards bodies (e.g., IEEE) and industrial organizations (e.g., Google and Microsoft). However, most of the existing related studies focused on solving the technical issues related to such a network, with relatively few considerations on the economic issues of such a network. The la
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