Benchmarking of the performance of spectrum mobility models in cognitive radio networks

Cesar Hernández, Diego A. Giral, Ingrid Páez

Research output: Contribution to journalArticle

  • 1 Citations

Abstract

The objective of this article is to benchmark the performance of six models of spectrum handoff related to the current literature. The benchmark was implemented based on five evaluation metrics: handoff, failed handoff, bandwidth, delay and throughput, for four defined scenarios: high traffic with real-time approach, high traffic with best-effort approach, low traffic with real-time approach and low traffic with best-effort approach. The evaluation of each model was executed through a developed simulation environment with real spectrum occupancy data captured from GSM band. The results show that FAHP is the best performing model in the four scenarios on average. However, the main conclusion is the importance of developing multi-models or spectrum handoff adaptive models that increase the performance level for different scenarios of the spectrum mobility in cognitive radio networks.

LanguageEnglish
Pages42189-42196
Number of pages8
JournalInternational Journal of Applied Engineering Research
Volume10
Issue number21
Publication statusPublished - 2015

Fingerprint

Benchmarking
Cognitive radio
Global system for mobile communications
Throughput
Bandwidth

Keywords

  • Cognitive radio
  • Decision making
  • Multiple-criteria
  • Spectrum handoff
  • Wireless networks

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Benchmarking of the performance of spectrum mobility models in cognitive radio networks. / Hernández, Cesar; Giral, Diego A.; Páez, Ingrid.

In: International Journal of Applied Engineering Research, Vol. 10, No. 21, 2015, p. 42189-42196.

Research output: Contribution to journalArticle

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