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Performance analysis of FBMC over OFDM in Cognitive Radio Network
Cognitive Radio (CR) system is an adaptive, reconfigurable communication system that can intuitively adjust its parameters to meet users or network demands. The major objective of CR is to provide a platform for the Secondary User (SU) to fully utilize the available spectrum resource by sensing the...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2019
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| _version_ | 1867613208229969920 |
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| access_status_str | Open Access |
| author | Agoni, Amakan Elisha |
| author2 | Dlodlo, Mqhele E |
| author_browse | Agoni, Amakan Elisha Dlodlo, Mqhele E |
| author_facet | Dlodlo, Mqhele E Agoni, Amakan Elisha |
| author_sort | Agoni, Amakan Elisha |
| collection | Thesis |
| description | Cognitive Radio (CR) system is an adaptive, reconfigurable communication system that can intuitively adjust its parameters to meet users or network demands. The major objective of CR is to provide a platform for the Secondary User (SU) to fully utilize the available spectrum resource by sensing the existence of spectrum holes without causing interference to the Primary User (PU). However, PU detection has been one of the main challenges in CR technology. In comparison to traditional wireless communication systems, due to the Cross-Channel Interference (CCI) from the adjacent channels used by SU to PU, CR system now poses new challenges to Resource Allocation (RA) problems. Past efforts have been focussed on Orthogonal Frequency Division Multiplexing (OFDM) based CR systems. However, OFDM technique show various limitations in CR application due to its enormous spectrum leakage. Filter Bank based Multicarrier (FBMC) has been proposed as a promising Multicarrier Modulation (MCM) candidate that has numerous advantages over OFDM. In this dissertation, a critical analysis of the performance of FBMC over OFDM was studied, and CR system was used as the testing platform. Firstly, the problem of spectrum sensing of OFDM based CR systems in contrast to FBMC based were surveyed from literature point of view, then the performance of the two schemes was analysed and compared from the spectral efficiency point of view. A resource allocation algorithm was proposed where much attention was focused on interference and power constraint. The proposed algorithms have been verified using MATLAB simulations, however, numerical results show that FBMC can attain higher spectrum efficiency and attractive benefit in terms of spectrum sensing as opposed to OFDM. The contributions of this dissertation have heightened the interest in more research and findings on how FBMC can be improved for future application CR systems. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/29174 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:29.432Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| 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:11427/29174 Performance analysis of FBMC over OFDM in Cognitive Radio Network Agoni, Amakan Elisha Dlodlo, Mqhele E Electrical Engineering Cognitive Radio Cognitive Radio (CR) system is an adaptive, reconfigurable communication system that can intuitively adjust its parameters to meet users or network demands. The major objective of CR is to provide a platform for the Secondary User (SU) to fully utilize the available spectrum resource by sensing the existence of spectrum holes without causing interference to the Primary User (PU). However, PU detection has been one of the main challenges in CR technology. In comparison to traditional wireless communication systems, due to the Cross-Channel Interference (CCI) from the adjacent channels used by SU to PU, CR system now poses new challenges to Resource Allocation (RA) problems. Past efforts have been focussed on Orthogonal Frequency Division Multiplexing (OFDM) based CR systems. However, OFDM technique show various limitations in CR application due to its enormous spectrum leakage. Filter Bank based Multicarrier (FBMC) has been proposed as a promising Multicarrier Modulation (MCM) candidate that has numerous advantages over OFDM. In this dissertation, a critical analysis of the performance of FBMC over OFDM was studied, and CR system was used as the testing platform. Firstly, the problem of spectrum sensing of OFDM based CR systems in contrast to FBMC based were surveyed from literature point of view, then the performance of the two schemes was analysed and compared from the spectral efficiency point of view. A resource allocation algorithm was proposed where much attention was focused on interference and power constraint. The proposed algorithms have been verified using MATLAB simulations, however, numerical results show that FBMC can attain higher spectrum efficiency and attractive benefit in terms of spectrum sensing as opposed to OFDM. The contributions of this dissertation have heightened the interest in more research and findings on how FBMC can be improved for future application CR systems. 2019-01-28T12:39:11Z 2019-01-28T12:39:11Z 2017 2019-01-28T12:38:19Z Master Thesis Masters http://hdl.handle.net/11427/29174 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Cognitive Radio Agoni, Amakan Elisha Performance analysis of FBMC over OFDM in Cognitive Radio Network |
| thesis_degree_str | Master's |
| title | Performance analysis of FBMC over OFDM in Cognitive Radio Network |
| title_full | Performance analysis of FBMC over OFDM in Cognitive Radio Network |
| title_fullStr | Performance analysis of FBMC over OFDM in Cognitive Radio Network |
| title_full_unstemmed | Performance analysis of FBMC over OFDM in Cognitive Radio Network |
| title_short | Performance analysis of FBMC over OFDM in Cognitive Radio Network |
| title_sort | performance analysis of fbmc over ofdm in cognitive radio network |
| topic | Electrical Engineering Cognitive Radio |
| url | http://hdl.handle.net/11427/29174 |
| work_keys_str_mv | AT agoniamakanelisha performanceanalysisoffbmcoverofdmincognitiveradionetwork |