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Dynamic Spectrum Access for Wireless Networks

  • Book
  • © 2015

Overview

Authors:
  1. Danda B. Rawat

    1. Department of Electrical Engineering, Georgia Southern University, Statesboro, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Min Song

    1. Department of Computer Science, Michigan Technological University, Houghton, USA

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    You can also search for this author in PubMed   Google Scholar

  3. Sachin Shetty

    1. Department of Electrical and Computer Engineering, Tennessee State University, Nashville, 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 (5 chapters)

  1. Front Matter

    Pages i-xv
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  2. An Overview of Cognitive Radio Networks

    • Danda B. Rawat, Min Song, Sachin Shetty
    Pages 1-11

  3. Resource Allocation in Spectrum Underlay Cognitive Radio Networks

    • Danda B. Rawat, Min Song, Sachin Shetty
    Pages 13-24

  4. Resource Allocation in Spectrum Overlay Cognitive Radio Networks

    • Danda B. Rawat, Min Song, Sachin Shetty
    Pages 25-42

  5. Cloud-Integrated Geolocation-Aware Dynamic Spectrum Access

    • Danda B. Rawat, Min Song, Sachin Shetty
    Pages 43-56

  6. Resource Allocation for Cognitive Radio Enabled Vehicular Network Users

    • Danda B. Rawat, Min Song, Sachin Shetty
    Pages 57-65

  7. Back Matter

    Pages 67-69
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Keywords

About this book

This SpringerBrief presents adaptive resource allocation schemes for secondary users for dynamic spectrum access (DSA) in cognitive radio networks (CRNs) by considering Quality-of-Service requirements, admission control, power/rate control, interference constraints, and the impact of spectrum sensing or primary user interruptions. It presents the challenges, motivations, and applications of the different schemes. The authors discuss cloud-assisted geolocation-aware adaptive resource allocation in CRNs by outsourcing computationally intensive processing to the cloud. Game theoretic approaches are presented to solve resource allocation problems in CRNs. Numerical results are presented to evaluate the performance of the proposed methods. Adaptive Resource Allocation in Cognitive Radio Networks is designed for professionals and researchers working in the area of wireless networks. Advanced-level students in electrical engineering and computer science, especially those focused on wireless networks, will find this information helpful.

Authors and Affiliations

  • Department of Electrical Engineering, Georgia Southern University, Statesboro, USA

    Danda B. Rawat

  • Department of Computer Science, Michigan Technological University, Houghton, USA

    Min Song

  • Department of Electrical and Computer Engineering, Tennessee State University, Nashville, USA

    Sachin Shetty

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