Impact of secondary user mobility on spectrum handoff under generalized residual time distributions in cognitive radio networks

Hoque, Shanidul; Arif, Wasim

doi:10.1016/j.aeue.2018.01.031

Cited by 15 publications

(4 citation statements)

References 30 publications

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“…However, the impacts of SU's service time distribution and residual time distribution have investigated separately. This article is extended of our previous work [26] where we present the results of intracell SHO considering lognormal and Erlang distribution models of SU's service time and residual time of SHs, respectively.…”

Section: Introductionmentioning

confidence: 94%

“…If the newly arrived SU service gets interrupted by k PUs before crossing the Cell A, there will be k intracell SHO to be performed successfully and the probability of k th intracell SHO (Pk_intra) of a newly arrived SU can be obtained as [26]  …”

Section: System Model and Analysismentioning

confidence: 99%

“…In [25], the author presented the effect of SUs' mobility on the SHO when the service time and residual time duration of spectrum holes (SHs) are exponentially distributed. A comprehensive analysis has been carried out in [26] to explore the effect of service time distribution and residual time distribution of SHs on SHO performance for a mobile SU in a CR network. The authors concluded that the lognormal SU's service time distribution model and Erlang residual time distribution model of spectrum holes offer better SHO performance.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Intracell Spectrum Handoff under General Traffic Parameters Distribution in Cognitive Radio Networks

Hoque

Sriv²

2022

Preprint

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Cognitive Radio (CR) technology solves the spectrum scarcity and spectrum shortcoming issues through dynamic spectrum access with a central point of contention spectrum handoff (SHO). SHO is an essential operation of secondary users (SUs) which is accountable for seamless and reliable services to ensuring better performance of a CR network. In this paper, we analyse the performance of intracell SHO of a non-stationary SU under various traffic parameters distribution in CR networks. We model the analytical formula of probability of intracell SHO and expected number of SHO of an SU in both source cell and destination cell considering lognormal service time distribution and Erlang-3, 23 residual time distribution of spectrum holes in a CR network. This paper also investigates the effect of departure rates of spectrum holes (λ), SUs (µ), and cell crossing rate (η) of SUs on probability of intracell SHO and expected number of SHO in a CR network. The proposed model with lognormal service time distribution and erlang-3, 23 residual time distribution offers higher probability of no intracell SHO and lower probabilities of intracell SHO (1st, 2nd, 3rd, and so on) and therefore, provides fewer number of expected number of SHO under the impact of λ, µ, and η.

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Section: Introductionmentioning

confidence: 94%

Section: System Model and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Intracell Spectrum Handoff under General Traffic Parameters Distribution in Cognitive Radio Networks

Hoque

Sriv²

2022

Preprint

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“…Collisions between SUs make the data transmission system fail and cause latency on network applications. erefore, the channel selection protocol must be executed with reasonable speed, and the channel selection protocol must be applied in a distributed manner to achieve a short handoff delay and avoid collisions [25]. Journal of Electrical and Computer Engineering e objective is to realize a scheme for an SH scenario that can make CRNs effective.…”

Section: Spectrum Mobility Protocolsmentioning

confidence: 99%

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks

Yawada

Dong

2019

Journal of Electrical and Computer Engineering

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Cognitive radio is an innovative technology in the field of wireless communication systems, aimed at significantly improving the use of the radio spectrum while allowing secondary users to access the spectral band opportunistically. Spectrum management mechanism ensures the transmission of data by controlling the efficiency of operation between the primary and secondary networks. The main task of spectrum management is to ensure that secondary users benefit from the spectrum without interfering with primary users. This paper deals with some of the important characteristics of spectrum mobility in the cognitive radio networks. The new management approaches of the mobility and the connection are designed to reduce the latency and loss of information during spectrum handoff, a list of channel safeguard is maintained in this effect, but the maintenance and update are a challenge. In this paper, we describe the reasons and mechanisms of spectrum handoff. Protocols have been developed to illustrate this handoff mechanism. We also make a comparison between the different methods of spectrum handoff. The simulation results obtained confirm that the protocols developed and the proposed method performed better than the pure reactive handoff method.

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Intellectual Radio Architecture with Software Defined Radio and Its Functionalities

Prasad

Jaya

2019

Sustainable Communication Networks and Application

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Impact of secondary user mobility on spectrum handoff under generalized residual time distributions in cognitive radio networks

Cited by 15 publications

References 30 publications

Analysis of Intracell Spectrum Handoff under General Traffic Parameters Distribution in Cognitive Radio Networks

Analysis of Intracell Spectrum Handoff under General Traffic Parameters Distribution in Cognitive Radio Networks

Intelligent Process of Spectrum Handoff/Mobility in Cognitive Radio Networks

Intellectual Radio Architecture with Software Defined Radio and Its Functionalities

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