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Queueing based resource allocation in cognitive radio networks
Dissertation (MEng)--University of Pretoria, 2017.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2018
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| _version_ | 1867613472390381568 |
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| access_status_str | Open Access |
| author2 | Maharaj, Bodhaswar Tikanath Jugpershad |
| author_browse | Maharaj, Bodhaswar Tikanath Jugpershad |
| author_facet | Maharaj, Bodhaswar Tikanath Jugpershad |
| collection | Thesis |
| dc_rights_str_mv | © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng)--University of Pretoria, 2017. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/66250 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:41.285Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/66250 Queueing based resource allocation in cognitive radio networks Maharaj, Bodhaswar Tikanath Jugpershad u11038421@tuks.co.za Alfa, Attahiru S. Tsimba, Hilary Mutsawashe UCTD Cognitive radio network (CRN) Queueing theory Resource allocation Optimisation Dissertation (MEng)--University of Pretoria, 2017. With the increase in wireless technology devices and mobile users, wireless radio spectrum is coming under strain. Networks are becoming more and more congested and free usable spectrum is running out. This creates a resource allocation problem. The resource, wireless spectrum, needs to be allocated to users in a manner such that it is utilised efficiently and fairly. The objective of this research is to find a solution to the resource allocation problem in radio networks, i.e to increase the efficiency of spectrum utilisation by making maximum use of the spectrum that is currently available through taking advantage of co-existence and exploiting interference limits. The solution proposed entails adding more secondary users (SU) on a cognitive radio network (CRN) and having them transmit simultaneously with the primary user. A typical network layout was defined for the scenario. The interference temperature limit (ITL) was exploited to allow multiple SUs to share capacity. Weighting was applied to the SUs and was based on allowable transmission power under the ITL. Thus a more highly weighted SU will be allowed to transmit at more power. The weighting can be determined by some network-defined rule. Specific models that define the behaviour of the network were then developed using queuing theory, specifically weighted processor sharing techniques. Optimisation was finally applied to the models to maximize system performance. Convex optimization was deployed to minimize the length of the queue through the power allocation ratio. The system was simulated and results for the system performance obtained. Firstly, the performance of the proposed models under the processor-sharing techniques was determined and discussed, with explanations given. Then optimisation was applied to the processor-sharing results and the performance was measured. In addition, the system performance was compared to other existing solutions that were deemed closest to the proposed models. Electrical, Electronic and Computer Engineering MEng Unrestricted 2018-08-17T09:42:49Z 2018-08-17T09:42:49Z 2005/03/18 2017 Dissertation Tsimba, HM 2017, Queueing based resource allocation in cognitive radio networks, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/66250> A2018 http://hdl.handle.net/2263/66250 en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Cognitive radio network (CRN) Queueing theory Resource allocation Optimisation Queueing based resource allocation in cognitive radio networks |
| title | Queueing based resource allocation in cognitive radio networks |
| title_full | Queueing based resource allocation in cognitive radio networks |
| title_fullStr | Queueing based resource allocation in cognitive radio networks |
| title_full_unstemmed | Queueing based resource allocation in cognitive radio networks |
| title_short | Queueing based resource allocation in cognitive radio networks |
| title_sort | queueing based resource allocation in cognitive radio networks |
| topic | UCTD Cognitive radio network (CRN) Queueing theory Resource allocation Optimisation |
| url | http://hdl.handle.net/2263/66250 |