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Spectrum Trading in Multi-Hop Cognitive Radio Networks

  • Book
  • © 2015

Overview

Authors:
  1. Miao Pan

    1. University of Houston , HOUSTON, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Ming Li

    1. University of Nevada , RENO, USA

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    You can also search for this author in PubMed   Google Scholar

  3. Pan Li

    1. Case Western Reserve University , Cleveland, USA

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    You can also search for this author in PubMed   Google Scholar

  4. Yuguang Fang

    1. University of Florida , GAINESVILLE, USA

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    You can also search for this author in PubMed   Google Scholar

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

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. The Network Architecture for Spectrum Trading

    • Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 1-9

  3. Economic-Robust Transmission Opportunity Based Spectrum Trading

    • Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 11-26

  4. A Session Based Spectrum Trading System Under Uncertain Spectrum Supply

    • Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 27-45

  5. Economic-Robust Session Based Spectrum Trading

    • Miao Pan, Ming Li, Pan Li, Yuguang Fang
    Pages 47-59
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Keywords

About this book

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.

Authors and Affiliations

  • University of Houston , HOUSTON, USA

    Miao Pan

  • University of Nevada , RENO, USA

    Ming Li

  • Case Western Reserve University , Cleveland, USA

    Pan Li

  • University of Florida , GAINESVILLE, USA

    Yuguang Fang

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