Statistical QoS evaluation for cognitive radio networks

Atef Abdrabou, Weihua Zhuang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


This paper introduces a statistical model that allows the users of a random access-based cognitive radio network sharing a single wireless channel to evaluate the quality-of-service (QoS) capability of the network. The model captures the variation of the channel service process taking into account the statistics of the channel availability in addition to the randomness of the data traffic of the cognitive radio network users. The proposed model allows the cognitive radio network users to employ the effective bandwidth theory and its dual, the effective capacity concept, in order to evaluate the maximum packet delay bound that can be satisfied with a certain violation probability. As a result, the users can adapt the performance of their real-time applications to fit the cognitive radio network status. Simulation results validate the model and demonstrate its accuracy.

Original languageEnglish
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
Publication statusPublished - 2011
Event54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States
Duration: Dec 5 2011Dec 9 2011

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Other54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/TerritoryUnited States
CityHouston, TX


  • Cognitive radio
  • QoS
  • resource allocation
  • statistical channel model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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