Flexible Queuing Model for Number of Active Users in Cognitive Radio Network Environment

This work presents a Soft Queuing Model (SQM) for number of active users present in a cognitive radio network (CRN) at some given instant. Starting with the existing cellular network where the upper limit for the number of channels and active users is well defined. The idea is then extended to the c...

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Main Authors: Ahsan Tanveer, Z. U. Khan, A. N. Malik, I. M. Qureshi
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2018/8349486
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spelling doaj-45002f3061634e0f861bb3b4a4d378822020-11-25T01:33:31ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772018-01-01201810.1155/2018/83494868349486Flexible Queuing Model for Number of Active Users in Cognitive Radio Network EnvironmentAhsan Tanveer0Z. U. Khan1A. N. Malik2I. M. Qureshi3Department of Computer Sciences, Iqra University Islamabad, PakistanDepartment of Electronic Engineering, International Islamic University, Islamabad, PakistanDepartment of Electronic Engineering, International Islamic University, Islamabad, PakistanDepartment of Electrical Engineering, Air University, Islamabad, PakistanThis work presents a Soft Queuing Model (SQM) for number of active users present in a cognitive radio network (CRN) at some given instant. Starting with the existing cellular network where the upper limit for the number of channels and active users is well defined. The idea is then extended to the complicated scenario of CRNs where the upper limit is not deterministic for both the number of channels and the active users. Accordingly a probabilistic SQM is proposed under the condition that the number of channels and active cognitive users are both random variables. The proposed model will be useful to offer the level of reliability to the clients connected with CRN and hence to offer secure communication even on a cooperative CRN. The proposed model has been verified theoretically and simulations have been carried out in diversified set ups to evaluate the performance.http://dx.doi.org/10.1155/2018/8349486
collection DOAJ
language English
format Article
sources DOAJ
author Ahsan Tanveer
Z. U. Khan
A. N. Malik
I. M. Qureshi
spellingShingle Ahsan Tanveer
Z. U. Khan
A. N. Malik
I. M. Qureshi
Flexible Queuing Model for Number of Active Users in Cognitive Radio Network Environment
Wireless Communications and Mobile Computing
author_facet Ahsan Tanveer
Z. U. Khan
A. N. Malik
I. M. Qureshi
author_sort Ahsan Tanveer
title Flexible Queuing Model for Number of Active Users in Cognitive Radio Network Environment
title_short Flexible Queuing Model for Number of Active Users in Cognitive Radio Network Environment
title_full Flexible Queuing Model for Number of Active Users in Cognitive Radio Network Environment
title_fullStr Flexible Queuing Model for Number of Active Users in Cognitive Radio Network Environment
title_full_unstemmed Flexible Queuing Model for Number of Active Users in Cognitive Radio Network Environment
title_sort flexible queuing model for number of active users in cognitive radio network environment
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2018-01-01
description This work presents a Soft Queuing Model (SQM) for number of active users present in a cognitive radio network (CRN) at some given instant. Starting with the existing cellular network where the upper limit for the number of channels and active users is well defined. The idea is then extended to the complicated scenario of CRNs where the upper limit is not deterministic for both the number of channels and the active users. Accordingly a probabilistic SQM is proposed under the condition that the number of channels and active cognitive users are both random variables. The proposed model will be useful to offer the level of reliability to the clients connected with CRN and hence to offer secure communication even on a cooperative CRN. The proposed model has been verified theoretically and simulations have been carried out in diversified set ups to evaluate the performance.
url http://dx.doi.org/10.1155/2018/8349486
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