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Wireless Networks

, Volume 20, Issue 4, pp 787–803 | Cite as

Multi-parameter performance analysis for decentralized cognitive radio networks

Article
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Abstract

In this paper, we investigate the impact of primary user activity, secondary user activity, interface switching, channel fading and finite-length queuing on the performance of decentralized cognitive radio networks. The individual processes of these service-disruptive effects are modeled as Markov chains based on cross-layer information locally available at the network nodes. A queuing analysis is conducted and various performance measures are derived regarding the packet loss, throughput, spectral efficiency, and packet delay distribution. Numerical results demonstrate the impact of various system parameters on the system performance, providing insights for cross-layer design and autonomous decision making in decentralized cognitive radio networks.

Keywords

Cognitive radio Decentralized networks User activity Interface switching Channel fading Adaptive modulation and coding Performance analysis 

Notes

Acknowledgments

This paper has been partially funded by the CROSSFIRE (MITN 317126) and co-financed by the EU (European Social Fund—ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF)—Research Funding Program: Heracleitus II. Investing in knowledge society through the European Social Fund.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Dionysis Xenakis
    • 1
  • Nikos Passas
    • 1
  • Lazaros Merakos
    • 1
  1. 1.Department of Informatics and TelecommunicationsUniversity of AthensAthensGreece

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