Queueing Models for Cognitive Radio Networks: A Survey
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TLDR
This survey presents an overview and classification of the various queueing models and techniques which have been proposed in the literature in the context of CRNs, and identifies open problems, future research directions and further potential applications related to queueing for CRNs.Abstract:
Cognitive radio networks (CRNs) are an emerging paradigm for next generation wireless communication systems allowing for more efficient radio spectrum utilization. In order to harness the full potential that CRNs may offer, many challenges and problems need to be overcome and addressed. One of the critical questions is the performance of secondary networks under primary user activity constraints. In this respect, queueing assumes a primary role in characterizing the delay, throughput and other performance metrics for secondary users, which in turn has implications for resource allocation, medium access control and quality of service provisioning. This survey presents an overview and classification of the various queueing models and techniques which have been proposed in the literature in the context of CRNs. Furthermore, open problems, future research directions and further potential applications related to queueing for CRNs are identified.read more
Citations
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Analysis of Cognitive Radio Networks Based on a Queueing Model with Server Interruptions
TL;DR: In this article, a queueing approach with server interruptions is introduced to analyze the performance of a cognitive radio link subject to recurrent failures and interruptions, which can be used to analyze traffic metrics as a function of different recovery schemes.
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Stochastic geometry approach towards interference management and control in cognitive radio network: A survey
TL;DR: It is shown that most of the existing approaches to interference management and control in CRN failed to capture the relationship between the spatial location of users and temporal traffic dynamics and are only restricted to interference modeling among non-mobile users with full buffers.
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Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks
Mohammad Asif Hossain,Rafidah Md Noor,Saaidal Razalli Azzuhri,Muhammad Reza Z'aba,Ismail Ahmedy,Kok-Lim Alvin Yau,Christopher Chembe +6 more
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Performance evaluation of finite-source cognitive radio networks with non-reliable services using simulation
Hamza Nemouchi,János Sztrik +1 more
TL;DR: Stochastic simulation is used for performance evaluation of cognitive radio network using a finite-source retrial queuing model with two service units and the effect of the non-reliability of the servers in different combination of distributions on the first and second moments of the response times of the requests is compared.
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Modeling and Performance Analysis of Cognitive Radio Networks Using Stochastic Timed Colored Petri Nets
TL;DR: This paper proposes to devise CR networks as a retrial queueing system where PUs have preemptive priority over SUs, and builds the simulation model of the queueed system using Timed Stochastic Colored Petri Nets.
References
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