Opportunistic Spectrum Utilization in Vehicular Communication Networks

  • Nan Cheng
  • Xuemin (Sherman) Shen

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

Table of contents

  1. Front Matter
    Pages i-ix
  2. Nan Cheng, Xuemin (Sherman) Shen
    Pages 1-8
  3. Nan Cheng, Xuemin (Sherman) Shen
    Pages 9-27
  4. Nan Cheng, Xuemin (Sherman) Shen
    Pages 29-55
  5. Nan Cheng, Xuemin (Sherman) Shen
    Pages 57-69
  6. Nan Cheng, Xuemin (Sherman) Shen
    Pages 71-75

About this book

Introduction

This brief examines current research on improving Vehicular Networks (VANETs), examining spectrum scarcity due to the dramatic growth of mobile data traffic and the limited bandwidth of dedicated vehicular communication bands and the use of opportunistic spectrum bands to mitigate congestion. It reviews existing literature on the use of opportunistic spectrum bands for VANETs, including licensed and unlicensed spectrum bands and a variety of related technologies, such as cognitive radio, WiFi and device-to-device communications. Focused on analyzing spectrum characteristics, designing efficient spectrum exploitation schemes, and evaluating the date delivery performance when utilizing different opportunistic spectrum bands, the results presented in this brief provide valuable insights on improving the design and deployment of future VANETs.

Keywords

Cellular offloading Cognitive radio Game theory Opportunistic spectrum Queueing theory VANETs WiFi

Authors and affiliations

  • Nan Cheng
    • 1
  • Xuemin (Sherman) Shen
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of WaterlooWaterlooCanada
  2. 2.Department of Electrical and Computer EnUniversity of WaterlooWaterlooCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-20445-1
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-20444-4
  • Online ISBN 978-3-319-20445-1
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
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