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Queueing Analysis of Mobile AdHoc Networks Equipped with Cognitive Radio Technology


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1 School of Information and Communication Technology, Gautam Buddha University, India
     

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In this paper, the Mobile Ad Hoc Networks (MANETs) with integrated Primary/Secondary User (PU or SU) traffic has been considered. Nodes in the MANET are equipped with Cognitive Radio Technology (CRT). The blocking probability and dropping probability for SUs are obtained by considering a 3D Markov Chain analytical model. To provide efficient service to PUs, we offer priority of channels, higher priority and lower priority is given to PUs and SUs, respectively. The expressions for blocking probability, dropping probability, throughput and non-completion of SU are established. Sensitivity analysis is carried out to explore the effect of system parameters. It is observed that Ad Hoc network utilized the unused spectrum of the existing legacy systems in an opportunistic manner in addition to using the unlicensed spectrum. The results show an improved performance in terms of blocking probabilities, dropping probabilities of SU and over all throughput of the system.

Keywords

Mobile Ad Hoc Network, Cognitive Radio Technology, Primary Users, Secondary Users, Blocking Probability, Dropping Probability.
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  • Queueing Analysis of Mobile AdHoc Networks Equipped with Cognitive Radio Technology

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Authors

Neeta Singh
School of Information and Communication Technology, Gautam Buddha University, India
Jyoti Singh
School of Information and Communication Technology, Gautam Buddha University, India

Abstract


In this paper, the Mobile Ad Hoc Networks (MANETs) with integrated Primary/Secondary User (PU or SU) traffic has been considered. Nodes in the MANET are equipped with Cognitive Radio Technology (CRT). The blocking probability and dropping probability for SUs are obtained by considering a 3D Markov Chain analytical model. To provide efficient service to PUs, we offer priority of channels, higher priority and lower priority is given to PUs and SUs, respectively. The expressions for blocking probability, dropping probability, throughput and non-completion of SU are established. Sensitivity analysis is carried out to explore the effect of system parameters. It is observed that Ad Hoc network utilized the unused spectrum of the existing legacy systems in an opportunistic manner in addition to using the unlicensed spectrum. The results show an improved performance in terms of blocking probabilities, dropping probabilities of SU and over all throughput of the system.

Keywords


Mobile Ad Hoc Network, Cognitive Radio Technology, Primary Users, Secondary Users, Blocking Probability, Dropping Probability.

References