Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover

Interference characterization in cognitive networks with handover has received less attention in stochastic geometry-based interference management and control, especially in cognitive radio networks, because of the possibility of complicating the analysis of various performance metrics of interest,...

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Main Authors: Samuel D. Okegbile, Bodhaswar T. Maharaj, Attahiru S. Alfa
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9257453/
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author Samuel D. Okegbile
Bodhaswar T. Maharaj
Attahiru S. Alfa
author_facet Samuel D. Okegbile
Bodhaswar T. Maharaj
Attahiru S. Alfa
author_sort Samuel D. Okegbile
collection DOAJ
description Interference characterization in cognitive networks with handover has received less attention in stochastic geometry-based interference management and control, especially in cognitive radio networks, because of the possibility of complicating the analysis of various performance metrics of interest, such as outage probability and throughput. However, because of the possible mobility that is observed in real practical systems, some of the receivers may be located outside the coverage regions of their paired transmitters. In order to ensure that any receiver located outside the coverage region of its paired transmitter continues to receive its required service from its paired transmitter while still achieving tractable analysis for various performance metrics of interest, we adopted multiuser diversity via packet relaying. With this approach, any secondary nodes waiting to transmit can be used to sustain coverage between any typical active transmitter and receiver pair, while reducing their own waiting period in the process. We obtained tractable analysis for outage probability, spectral efficiency and throughput and showed the effect of handover rate over the network performance. The outcomes of the numerical results show that the proposed approach is capable of improving the overall network performance by improving coverage and throughput among network users in the cognitive radio networks.
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spelling doaj.art-26ace6db61264f029db70599448a6d132022-12-21T19:58:16ZengIEEEIEEE Access2169-35362020-01-01820804520805710.1109/ACCESS.2020.30377879257453Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With HandoverSamuel D. Okegbile0https://orcid.org/0000-0003-3714-3534Bodhaswar T. Maharaj1https://orcid.org/0000-0002-3703-3637Attahiru S. Alfa2https://orcid.org/0000-0002-6486-2908Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South AfricaDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South AfricaDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South AfricaInterference characterization in cognitive networks with handover has received less attention in stochastic geometry-based interference management and control, especially in cognitive radio networks, because of the possibility of complicating the analysis of various performance metrics of interest, such as outage probability and throughput. However, because of the possible mobility that is observed in real practical systems, some of the receivers may be located outside the coverage regions of their paired transmitters. In order to ensure that any receiver located outside the coverage region of its paired transmitter continues to receive its required service from its paired transmitter while still achieving tractable analysis for various performance metrics of interest, we adopted multiuser diversity via packet relaying. With this approach, any secondary nodes waiting to transmit can be used to sustain coverage between any typical active transmitter and receiver pair, while reducing their own waiting period in the process. We obtained tractable analysis for outage probability, spectral efficiency and throughput and showed the effect of handover rate over the network performance. The outcomes of the numerical results show that the proposed approach is capable of improving the overall network performance by improving coverage and throughput among network users in the cognitive radio networks.https://ieeexplore.ieee.org/document/9257453/Handover costhandover ratemultiuser diversityoutage probabilitythroughput
spellingShingle Samuel D. Okegbile
Bodhaswar T. Maharaj
Attahiru S. Alfa
Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover
IEEE Access
Handover cost
handover rate
multiuser diversity
outage probability
throughput
title Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover
title_full Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover
title_fullStr Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover
title_full_unstemmed Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover
title_short Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover
title_sort outage and throughput analysis of cognitive users in underlay cognitive radio networks with handover
topic Handover cost
handover rate
multiuser diversity
outage probability
throughput
url https://ieeexplore.ieee.org/document/9257453/
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AT bodhaswartmaharaj outageandthroughputanalysisofcognitiveusersinunderlaycognitiveradionetworkswithhandover
AT attahirusalfa outageandthroughputanalysisofcognitiveusersinunderlaycognitiveradionetworkswithhandover