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Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks
A key challenge with current radio access technologies and a consideration in the implementation of next generation radio access networks is limited spectrum availability. Current mobile technologies have been standardized to operate within reserved, dedicated frequency bands. Network operators are...
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| Format: | Thesis |
| Language: | English English |
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Department of Electrical Engineering
2025
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| _version_ | 1867613332608909312 |
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| access_status_str | Open Access |
| author | Kombani, Ngonidzashe Gideon |
| author2 | Falowo, Olabisi |
| author_browse | Falowo, Olabisi Kombani, Ngonidzashe Gideon |
| author_facet | Falowo, Olabisi Kombani, Ngonidzashe Gideon |
| author_sort | Kombani, Ngonidzashe Gideon |
| collection | Thesis |
| description | A key challenge with current radio access technologies and a consideration in the implementation of next generation radio access networks is limited spectrum availability. Current mobile technologies have been standardized to operate within reserved, dedicated frequency bands. Network operators are granted exclusive access to the allocated frequency bands, which are reserved regardless of users' activity. This exclusive reservation of frequency bands results in spectrum under-utilization in instances where the primary users of the spectrum are inactive. Research in spectrum utilization patterns has revealed significant occurrences of inactivity and sparse usage patterns within these reserved spectrum bands. This dissertation investigates spectrum sensing cognitive radio with the aim of identifying an efficient model to effectively utilize the available spectrum. A cooperative spectrum sensing cognitive radio model is presented based on energy detection sensing and multi-slot spectrum allocation. The model is evaluated based on two decision strategies, ‘Square Law Combining' Soft fusion, and ‘Majority Rule' Hard fusion sensing. The choice of applying energy detection for local spectrum sensing is due to its efficiency and simplicity in implementation. Simulations of the modelled cognitive radio system positively illustrate the feasibility of applying energy detection in cooperative sensing. Results also show that the soft fusion decision algorithm outperforms the hard fusion algorithm in energy sensing in terms of detection accuracy. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/42345 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:34:27.383Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/42345 Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks Kombani, Ngonidzashe Gideon Falowo, Olabisi Radio Networks Cooperative Spectrum Sensing A key challenge with current radio access technologies and a consideration in the implementation of next generation radio access networks is limited spectrum availability. Current mobile technologies have been standardized to operate within reserved, dedicated frequency bands. Network operators are granted exclusive access to the allocated frequency bands, which are reserved regardless of users' activity. This exclusive reservation of frequency bands results in spectrum under-utilization in instances where the primary users of the spectrum are inactive. Research in spectrum utilization patterns has revealed significant occurrences of inactivity and sparse usage patterns within these reserved spectrum bands. This dissertation investigates spectrum sensing cognitive radio with the aim of identifying an efficient model to effectively utilize the available spectrum. A cooperative spectrum sensing cognitive radio model is presented based on energy detection sensing and multi-slot spectrum allocation. The model is evaluated based on two decision strategies, ‘Square Law Combining' Soft fusion, and ‘Majority Rule' Hard fusion sensing. The choice of applying energy detection for local spectrum sensing is due to its efficiency and simplicity in implementation. Simulations of the modelled cognitive radio system positively illustrate the feasibility of applying energy detection in cooperative sensing. Results also show that the soft fusion decision algorithm outperforms the hard fusion algorithm in energy sensing in terms of detection accuracy. 2025-11-26T08:51:08Z 2025-11-26T08:51:08Z 2025 2025-11-26T08:48:48Z Thesis / Dissertation Masters MSc (Eng) http://hdl.handle.net/11427/42345 en eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Radio Networks Cooperative Spectrum Sensing Kombani, Ngonidzashe Gideon Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks |
| thesis_degree_str | Master's |
| title | Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks |
| title_full | Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks |
| title_fullStr | Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks |
| title_full_unstemmed | Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks |
| title_short | Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks |
| title_sort | multi slot cooperative spectrum sensing for cognitive radio networks |
| topic | Radio Networks Cooperative Spectrum Sensing |
| url | http://hdl.handle.net/11427/42345 |
| work_keys_str_mv | AT kombaningonidzashegideon multislotcooperativespectrumsensingforcognitiveradionetworks |