Spectrum Trading in Multi-Hop Cognitive Radio Networks

  • Miao Pan
  • Ming Li
  • Pan Li
  • Yuguang Fang

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 1-9
  3. Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 11-26
  4. Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 27-45
  5. Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 47-59

About this book

Introduction

This SpringerBrief focuses on spectrum trading designs in multi-hop cognitive radio networks. It starts with the motivation for spectrum trading and the review of existing spectrum trading designs. Then, it presents a novel CRN architecture for spectrum trading considering spectrum trading’s economic features and wireless nature. Under this network architecture, it extends current single-hop per-user based spectrum trading design into a multi-hop transmission opportunity based one, and further into a session based one, while having economic properties guaranteed.

This SpringerBrief not only provides a good review of current spectrum trading designs, it also touches on the cutting-edge interdisciplinary spectrum trading research on disparate fields of modeling, network architecture design, optimization theories, statistics, and economic theories. Advanced-level students studying computer science, electrical and computer engineering and economics, wireless network planners, and wireless spectrum engineers will find this book a useful tool.

Keywords

economic-robustness flow routing network architecture optimization security spectrum trading

Authors and affiliations

  • Miao Pan
    • 1
  • Ming Li
    • 2
  • Pan Li
    • 3
  • Yuguang Fang
    • 4
  1. 1.University of Houston HOUSTONUSA
  2. 2.University of Nevada RENOUSA
  3. 3.Case Western Reserve University ClevelandUSA
  4. 4.University of Florida GAINESVILLEUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-25631-3
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-25629-0
  • Online ISBN 978-3-319-25631-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book