Overview
- Outlines and analyzes three promising business models motivated by the practical commercial examples
- Designs the optimal trading mechanisms for each model
- Demonstrates how database operators exploit their perceived business opportunities and calibrate them to the business context
- Includes supplementary material: sn.pub/extras
Part of the book series: Wireless Networks (WN)
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Table of contents (6 chapters)
Keywords
About this book
With the explosive growth of mobile devices and bandwidth-hungry applications, radio spectrum is becoming increasingly congested and scarce. Database-assisted dynamic spectrum sharing is 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. Database-assisted spectrum sharing network architecture has received wide and enthusiastic support from spectrum regulators, standards bodies, and industrial organizations.
This book serves as a resource for researchers in white space communications and networking, for regulators in the wireless industry, and for graduate students and senior undergraduate students taking a course on network economics.
Authors and Affiliations
Bibliographic Information
Book Title: Economics of Database-Assisted Spectrum Sharing
Authors: Yuan Luo, Lin Gao, Jianwei Huang
Series Title: Wireless Networks
DOI: https://doi.org/10.1007/978-3-319-43231-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-43230-4Published: 22 August 2016
Softcover ISBN: 978-3-319-82763-6Published: 22 April 2018
eBook ISBN: 978-3-319-43231-1Published: 13 August 2016
Series ISSN: 2366-1186
Series E-ISSN: 2366-1445
Edition Number: 1
Number of Pages: X, 88
Number of Illustrations: 25 b/w illustrations
Topics: Computer Communication Networks, Communications Engineering, Networks, Game Theory