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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.

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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.
Journal ArticleDOI

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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Performance evaluation of finite-source cognitive radio networks with non-reliable services using simulation

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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Journal ArticleDOI

Cognitive radio: brain-empowered wireless communications

TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
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NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey

TL;DR: The novel functionalities and current research challenges of the xG networks are explained in detail, and a brief overview of the cognitive radio technology is provided and the xg network architecture is introduced.
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A survey of spectrum sensing algorithms for cognitive radio applications

TL;DR: In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented and the cooperative sensing concept and its various forms are explained.

Cognitive Radio An Integrated Agent Architecture for Software Defined Radio

Joseph Mitola
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
Journal ArticleDOI

Matrix-geometric solutions in stochastic models : an algorithmic approach

TL;DR: In this paper, a mathematical text suitable for students of engineering and science who are at the third year undergraduate level or beyond is presented, which is a book of applicable mathematics, which avoids the approach of listing only the techniques, followed by a few examples.
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