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Modeling and Analysis of Voice and Data in Cognitive Radio Networks

  • Book
  • © 2014

Overview

Authors:
  1. Subodha Gunawardena

    1. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

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    You can also search for this author in PubMed   Google Scholar

  2. Weihua Zhuang

    1. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

    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 (5 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • Subodha Gunawardena, Weihua Zhuang
    Pages 1-8

  3. Voice Capacity Analysis

    • Subodha Gunawardena, Weihua Zhuang
    Pages 9-40

  4. Service Response Time of Elastic Data Traffic

    • Subodha Gunawardena, Weihua Zhuang
    Pages 41-69

  5. Service Response Time of Interactive Data Traffic

    • Subodha Gunawardena, Weihua Zhuang
    Pages 71-85

  6. Conclusions and Future Directions

    • Subodha Gunawardena, Weihua Zhuang
    Pages 87-91
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Keywords

About this book

This Springer Brief investigates the voice and elastic/interactive data service support over cognitive radio networks (CRNs), in terms of their delay requirements. The increased demand for wireless communication conflicts with the scarcity of the radio spectrum, but CRNS allow for more efficient use of the networks. The authors review packet level delay requirements of the voice service and session level delay requirements of the elastic/interactive data services, particularly constant-rate and on-off voice traffic capacities in CRNs with centralized and distributed network coordination. Some generic channel access schemes are considered as the coordination mechanism, and call admission control algorithms are developed for non-fully-connected CRNs. Other key topics include the advantages of supporting voice traffic flows with different delay requirements, the mean response time of the elastic data traffic over a centralized CRN, and effects of the traffic load at the base station and file length (service time requirement) distribution on the mean response time. The brief is designed for professionals and researchers working with wireless networks, cognitive radio, and communications. It is also a helpful reference for advanced-level students interested in efficient wireless communications.

Authors and Affiliations

  • Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

    Subodha Gunawardena, Weihua Zhuang

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