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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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2018/8349486 |
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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 |
work_keys_str_mv |
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1725076629441478656 |