Dynamic Spectrum Access for Wireless Networks

  • Danda B. Rawat
  • Min Song
  • Sachin Shetty

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. Danda B. Rawat, Min Song, Sachin Shetty
    Pages 1-11
  3. Danda B. Rawat, Min Song, Sachin Shetty
    Pages 13-24
  4. Danda B. Rawat, Min Song, Sachin Shetty
    Pages 25-42
  5. Danda B. Rawat, Min Song, Sachin Shetty
    Pages 43-56
  6. Danda B. Rawat, Min Song, Sachin Shetty
    Pages 57-65
  7. Back Matter
    Pages 67-69

About this book

Introduction

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.

Keywords

Adaptive resource allocation Admission control Artificial spectrum scarcity Cloud Assisted Geolocation-aware CRN Cognitive networks Dynamic spectrum access Game theoretic approaches Game theory Power and rate control Quality-of-service Spectrum sensing Wireless networks

Authors and affiliations

  • Danda B. Rawat
    • 1
  • Min Song
    • 2
  • Sachin Shetty
    • 3
  1. 1.Department of Electrical EngineeringGeorgia Southern UniversityStatesboroUSA
  2. 2.Department of Computer ScienceMichigan Technological UniversityHoughtonUSA
  3. 3.Department of Electrical and Computer EngineeringTennessee State UniversityNashvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-15299-8
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-15298-1
  • Online ISBN 978-3-319-15299-8
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
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