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Cooperative Device-to-Device Communication in Cognitive Radio Cellular Networks

  • Book
  • © 2014

Overview

Authors:
  1. Peng Li

    1. The University of Aizu, Aizu-Wakamatsu City, Japan

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    You can also search for this author in PubMed   Google Scholar

  2. Song Guo

    1. The University of Aizu, Aizu-Wakamatsu City, Japan

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction

    • Peng Li, Song Guo
    Pages 1-5

  3. Literature Survey on Cooperative Device-to-Device Communication

    • Peng Li, Song Guo
    Pages 7-12

  4. Cooperative Device-to-Device Communication Architecture

    • Peng Li, Song Guo
    Pages 13-17

  5. Capacity Maximization of Cooperative Device-to-Device Communication

    • Peng Li, Song Guo
    Pages 19-39

  6. Energy Efficiency of Cooperative Device-to-Device Communication

    • Peng Li, Song Guo
    Pages 41-59

  7. Cooperative Device-to-Device Communication for Broadcast

    • Peng Li, Song Guo
    Pages 61-75

  8. Conclusion

    • Peng Li, Song Guo
    Pages 77-78
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Keywords

About this book

This brief examines current research on cooperative device-to-device (D2D) communication as an enhanced offloading technology to improve the performance of cognitive radio cellular networks. By providing an extensive review of recent advances in D2D communication, the authors demonstrate that the quality of D2D links significantly affects offloading performance in cellular networks, which motivates the design of cooperative D2D communication. After presenting the architecture of cooperative D2D communication, the challenges of capacity maximization and energy efficiency are addressed by optimizing relay assignment, power control and resource allocation. Furthermore, cooperative D2D communication is enhanced by network coding technology, and then is extended for broadcast sessions. Along with detailed problem formulation and hardness analysis, fast algorithms are developed by exploiting problem-specific characteristics such that they can be applied in practice.

Authors and Affiliations

  • The University of Aizu, Aizu-Wakamatsu City, Japan

    Peng Li, Song Guo

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