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Performance analysis of cognitive radio networks with generalized call holding time distribution of secondary user

Author

Listed:
  • Shanidul Hoque

    (National Institute of Technology Silchar)

  • Wasim Arif

    (National Institute of Technology Silchar)

Abstract

In cognitive radio networks (CRNs), spectrum handoff probability and expected number of spectrum handoffs are important parameters in the evaluation of network performance and design. This paper presents an analytical model for spectrum handoff probability and spectrum handoff rate for CRNs under general distribution of call holding time of secondary users (SUs). The standardized analytical forms of spectrum handoff probability and handoff rate of secondary network under negotiated scenario are derived for a complete service call duration. The effect of mobility parameters: departure rate of SUs ( $$\upmu )$$ μ ) and departure rate of spectrum holes ( $$\uplambda )$$ λ ) on spectrum handoff are also reported in this paper. Extensive results for all the proposed analytical models are obtained and presented in this paper. Analytical results show that exponential and Erlangian distribution functions are not suitable for call holding time of SU in the analysis of spectrum handoff in CRNs. Moreover, the superiority of lognormal distribution function ascertains its use for call holding time of SU in spectrum handoff estimation for better CRN performances. The Monte-Carlo simulation is also performed for spectrum handoff probability to validate the analytical model.

Suggested Citation

  • Shanidul Hoque & Wasim Arif, 2017. "Performance analysis of cognitive radio networks with generalized call holding time distribution of secondary user," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 66(1), pages 95-108, September.
    • Handle: RePEc:spr:telsys:v:66:y:2017:i:1:d:10.1007_s11235-017-0283-6
    DOI: 10.1007/s11235-017-0283-6
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    Cited by:

    1. Banani Talukdar & Deepak Kumar & Shanidul Hoque & Wasim Arif, 2022. "Estimation based cyclostationary detection for energy harvesting cooperative cognitive radio network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(1), pages 133-150, January.
    2. K. M. Mridula & P. M. Ameer, 2019. "On the fundamental limit to the use of cognitive radio in underwater acoustic sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 303-308, June.

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