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| dc.contributor.author | Gebremariam, Asnake | |
| dc.date.accessioned | 2022-11-18T07:01:31Z | |
| dc.date.available | 2022-11-18T07:01:31Z | |
| dc.date.issued | 2022-08 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/14461 | |
| dc.description.abstract | The emerging, 5G wireless communication, technology needs high data rate, low latency, high capacity, and high spectrum efficiency. Cognitive radio (CR), which is an adaptive and reconfigurable communication system has capably of automatically detecting and exploiting unused spectrum while avoiding harmful interference to the incumbent system for efficient utilization of spectrum. This benefit of CR motivated researchers in the area. Even, the first proposed multicarrier technique for CR, orthogonal frequency division multiplexing (OFDM), has been a dominant technology, it suffers from drawbacks such as out-of-band radiation, and loss of spectral efficiency. Thus, many researchers have proposed filter bank multicarrier (FBMC) as a replacement of OFDM for 5G. However, FBMC suffers from high overheads. Universal filtered multicarrier (UFMC) combines advantages of FBMC and OFDM, and avoids the spectrum inefficiency of OFDM and complexity of FBMC. It improves the spectrum sensing ability of CR, and become a favorable choice for 5G communication. Spectrum sensing is a key enabler for efficient use of spectrum and interference manage-ment. This research work proposed and analyzed cooperative spectrum sensing (CSS) UFMC based CR for 5G system. Cooperating four number of cognitive radios (Ncrs) using AND, OR, and Majority Vote (MV) fusion rules at their optimal threshold values improves the performance by 40%, 41% and 56.5% respectively. Thus, using MV fusion rule at its optimal threshold best improves the performance. Key Words: 5G, CR, CSS, Optimal Threshold, UFMC | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Faculty of Electrical and Computer Engineering | en_US |
| dc.title | Performance Analysis of Cooperative Spectrum Sensing UFMC Based Cognitive Radio for 5G System | en_US |
| dc.type | Thesis | en_US |
