Modeling and performance analysis for mobile cognitive radio cellular networks

Corral-Ruiz, Anum L. Enlil; Cruz-Perez, F.A.; Castellanos-Lopez, S. Lirio; Hernandez-Valdez, Genaro; Rivero-Ángeles, Mario E.

doi:10.1186/s13638-017-0940-1

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…A new PU mobility model called TSS (temporal mobility, spatial mobility, and spectrum mobility) was proposed in [42]. In the same vision, in [43] the authors have noted that the effect of PU mobility has not received enough attention in the CRCN because it is a recent research topic. Thus, the service interruption of SUs due to the arrival of PU and its mobility must be taken into account for the CRCN performance analysis.…”

Section: Conclusion and Discussion Of Sectionmentioning

confidence: 99%

Mobile Primary User in Cognitive Radio State of the Arts and Recent Advances

hamdouchi¹,

Benmammar²,

Biari³

et al. 2020

IJNGN

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The processing of primary user mobility with static or mobile secondary user in the context of cognitive radio (CR) has recently been the subject of several studies and discussions all over the world. These studies are seeking to broaden the horizons of CR implementation beyond the formalism described in the diverse existing standards. The mobility of primary users is likely to reduce the overall performance of the Cognitive Radio Network (CRN) and affects the different phases of the cognitive cycle. Said mobility alters the network's topology, the channel's availability, and affects spectrum sensing. This makes any endeavor aiming to implement CR technology complicated. This paper is devoted to the analysis and discussion of the scientific literature that has addressed the issue of the primary user's mobility.

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Section: Conclusion and Discussion Of Sectionmentioning

confidence: 99%

Mobile Primary User in Cognitive Radio State of the Arts and Recent Advances

hamdouchi¹,

Benmammar²,

Biari³

et al. 2020

IJNGN

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show abstract

“…e developed analysis in this paper can be extended for the performance evaluation of other cellular-based systems (i.e., green cellular networks (in [18], a robust and computationally efficient analytical approximation method is proposed to evaluate call blocking probability in green cellular networks considering different base station (BS) sleeping patterns; specifically, the Erlang fixed-point approximation technique is used to provide an accurate and computationally feasible analytical approximation to calculate call blocking probability in cellular networks with or without BS sleeping; contrary to this paper, in [18], both call service time and call sojourn (cell dwell) times are considered to be independent and exponentially distributed random variables) [18] and cognitive cellular networks [19]). e rest of this article is structured as follows.…”

Section: Introductionmentioning

confidence: 99%

Performance Sensitivity to the High-Order Statistics of Time Interval Variables in Cellular Networks

Cruz-Perez

Hernandez-Valdez²,

Rico-Páez³

et al. 2020

Mobile Information Systems

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Cell dwell time (DT) and unencumbered interruption time (IT) are fundamental time interval variables in the teletraffic analysis for the performance evaluation of mobile cellular networks. Although a diverse set of general distributions has been proposed to model these time interval variables, the effect of their moments higher than the expected value on system performance has not been reported in the literature. In this paper, sensitivity of teletraffic performance metrics of mobile cellular networks to the first three standardized moments of both DT and IT is investigated in a comprehensive manner. Mathematical analysis is developed considering that both DT and IT are phase-type distributed random variables. This work includes substantial numerical results for quantifying the dependence of system level performance metrics to the values of the first three standardized moments of both DT and IT. For instance, for a high mobility scenario where DT is modeled by a hyper-Erlang distribution, we found that call forced termination probability decreases around 60% as the coefficient of variation (CoV) and skewness of DT simultaneously change from 1 to 20 and from 60 to 2, respectively. Also, numerical results confirm that as link unreliability increases the forced termination probability increases while both new call blocking and handoff failure probabilities decrease. Numerical results also indicate that for low values of skewness, performance metrics are highly sensitive to changes in the CoV of either the IT or DT. In general, it is observed that system performance is more sensitive to the statistics of the IT than to those of the DT. Such understanding of teletraffic engineering issues is vital for planning, designing, dimensioning, and optimizing mobile cellular networks.

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“…On the other hand, x S;i ð Þ d ideal is the service time when the maximum amount of resources b max is used by a given S d U, and n is the number of data calls successfully completed. As shown in Appendix 1 of [40], the call interruption process of secondary calls due to the arrival of primary users in cognitive radio networks is not a Poissonian one. As such, the interruption probability of secondary users cannot be obtained in a straightforward manner.…”

Section: Teletraffic Analysismentioning

confidence: 99%

Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks

Castellanos-Lopez¹,

Cruz-Perez

Hernandez-Valdez³

et al. 2017

J Wireless Com Network

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In this paper, the Erlang capacity achieved by the separate or joint use of several resource management mechanisms commonly considered in the literature (spectrum aggregation, spectrum adaptation, call buffering, channel reservation, selective interruption, and preemptive prioritization) to mitigate the effects of secondary call interruptions in cognitive radio networks (CRNs) is evaluated and compared. Heterogeneous traffic is considered, and service differentiation between real-time and elastic (data) traffic is done in terms of their different delay tolerance characteristics. The aim of our investigation is to identify the most relevant resource management mechanisms to improve the performance of the considered networks. As such, both the individual and joint effect of each resource management mechanisms on system performance are evaluated with the objective of comparing the gains in capacity achieved by each resource management mechanism studied in this work. For this purpose, the different resource management mechanisms studied are carefully combined and, for each resulting strategy, optimization of its configuration is presented to maximize the achievable Erlang capacity. For the performance evaluation of the considered strategies in heterogeneous traffic CRNs, a general teletraffic analysis is developed. Numerical results show that spectrum adaptation and call buffering are the mechanisms that best exploit the elasticity of delay-tolerant traffic in heterogeneous traffic CRNs and, therefore, most significantly improve system performance.

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Modeling and performance analysis for mobile cognitive radio cellular networks

Cited by 6 publications

References 41 publications

Mobile Primary User in Cognitive Radio State of the Arts and Recent Advances

Mobile Primary User in Cognitive Radio State of the Arts and Recent Advances

Performance Sensitivity to the High-Order Statistics of Time Interval Variables in Cellular Networks

Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks

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