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Telecommunication Systems
Erschienen in: Telecommunication Systems 1/2017

30.01.2017

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

verfasst von: Shanidul Hoque, Wasim Arif

Erschienen in: Telecommunication Systems | Ausgabe 1/2017

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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 (\(\upmu )\) and departure rate of spectrum holes (\(\uplambda )\) 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.
Vorheriger Artikel Formalizing REST APIs for web-based communication and SIP interworking
Nächster Artikel Optimization of Power Consumption in 4G LTE Networks Using a Novel Barebones Self-adaptive Differential Evolution Algorithm

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Metadaten
Titel
Performance analysis of cognitive radio networks with generalized call holding time distribution of secondary user
verfasst von
Shanidul Hoque
Wasim Arif
Publikationsdatum
30.01.2017
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 1/2017
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-017-0283-6

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