A probabilistic model of spectrum availability for OFDMA based cognitive radio systems

Nariman Rahimian, Hasari Celebi, Costas N. Georghiades, Khalid Qaraqe

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this paper, the demands made by a set of spatially Poisson point distributed primary users on available channels in their proximity is considered and their effect on channel availability for secondary users under various channel requesting distributions is assessed. It is shown that for some "greedy" systems, providing more subcarriers will not increase the spectrum availability for a secondary network. The sustainable traffic of the system subject to a fixed spectrum outage probability is also investigated. It is shown that for a fixed spectrum outage probability, as long as the system is "greedy", providing more subcarriers does not help to support more primary users to successfully avoid spectrum outage.

Original languageEnglish
Article number6313577
Pages (from-to)1780-1783
Number of pages4
JournalIEEE Communications Letters
Volume16
Issue number11
DOIs
Publication statusPublished - 2012

Fingerprint

Orthogonal Frequency Division multiple Access (OFDMA)
Radio systems
Cognitive Radio
Cognitive radio
Outages
Probabilistic Model
Availability
Outage Probability
Proximity
Siméon Denis Poisson
Traffic
Statistical Models

Keywords

  • Cognitive radio
  • OFDMA
  • probabilistic model
  • spectrum availability

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation

Cite this

A probabilistic model of spectrum availability for OFDMA based cognitive radio systems. / Rahimian, Nariman; Celebi, Hasari; Georghiades, Costas N.; Qaraqe, Khalid.

In: IEEE Communications Letters, Vol. 16, No. 11, 6313577, 2012, p. 1780-1783.

Research output: Contribution to journalArticle

Rahimian, Nariman ; Celebi, Hasari ; Georghiades, Costas N. ; Qaraqe, Khalid. / A probabilistic model of spectrum availability for OFDMA based cognitive radio systems. In: IEEE Communications Letters. 2012 ; Vol. 16, No. 11. pp. 1780-1783.
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