Spectrum sensing with standart and demmel condition number under Gaussian approach
Abstract In recent years, the use of wireless communication systems and wireless network services has increased exponentially, causing spectrum scarcity. In addition, fixed spectrum assignment policies further contribute to spectrum scarcity. The application of dynamic spectrum access, which is the...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ilgin, Fatih Yavuz [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Telecommunication systems - Springer US, 1992, 79(2022), 3 vom: 10. Jan., Seite 397-404 |
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| Übergeordnetes Werk: |
volume:79 ; year:2022 ; number:3 ; day:10 ; month:01 ; pages:397-404 |
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| DOI / URN: |
10.1007/s11235-021-00876-w |
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OLC2078141321 |
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10.1007/s11235-021-00876-w doi (DE-627)OLC2078141321 (DE-He213)s11235-021-00876-w-p DE-627 ger DE-627 rakwb eng 620 VZ 05.00 bkl Ilgin, Fatih Yavuz verfasserin (orcid)0000-0002-7449-4811 aut Spectrum sensing with standart and demmel condition number under Gaussian approach 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract In recent years, the use of wireless communication systems and wireless network services has increased exponentially, causing spectrum scarcity. In addition, fixed spectrum assignment policies further contribute to spectrum scarcity. The application of dynamic spectrum access, which is the basis of Cognitive Radio systems rather than fixed spectrum assignment, plays an important role in solving the spectrum scarcity problem. Dynamic spectrum access means identifying and re-evaluating idle spectrum regions. Empty spectrum regions are determined with the help of suitable detectors, a process known as spectrum detection in the literature. In this study, we propose two new detectors under the assumption of normality with the help of Standard Condition Number and Demmel Condition Number statistics. Theoretical analyses were made, and thresholds obtained for the proposed detectors. To evaluate the performance of the proposed detectors, they were compared with several detectors in the literature (MME, DCN, SNE) in terms of detection performance and detection times. It is clear from the simulation studies that the detection performance of the proposed detectors was better. Cognitive radio Demmel condition number Standart condition number Spectrum sensing Spectrum sharing Enthalten in Telecommunication systems Springer US, 1992 79(2022), 3 vom: 10. Jan., Seite 397-404 (DE-627)165670193 (DE-600)1150324-5 (DE-576)034200312 1018-4864 nnns volume:79 year:2022 number:3 day:10 month:01 pages:397-404 https://doi.org/10.1007/s11235-021-00876-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW 05.00 VZ AR 79 2022 3 10 01 397-404 |
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10.1007/s11235-021-00876-w doi (DE-627)OLC2078141321 (DE-He213)s11235-021-00876-w-p DE-627 ger DE-627 rakwb eng 620 VZ 05.00 bkl Ilgin, Fatih Yavuz verfasserin (orcid)0000-0002-7449-4811 aut Spectrum sensing with standart and demmel condition number under Gaussian approach 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract In recent years, the use of wireless communication systems and wireless network services has increased exponentially, causing spectrum scarcity. In addition, fixed spectrum assignment policies further contribute to spectrum scarcity. The application of dynamic spectrum access, which is the basis of Cognitive Radio systems rather than fixed spectrum assignment, plays an important role in solving the spectrum scarcity problem. Dynamic spectrum access means identifying and re-evaluating idle spectrum regions. Empty spectrum regions are determined with the help of suitable detectors, a process known as spectrum detection in the literature. In this study, we propose two new detectors under the assumption of normality with the help of Standard Condition Number and Demmel Condition Number statistics. Theoretical analyses were made, and thresholds obtained for the proposed detectors. To evaluate the performance of the proposed detectors, they were compared with several detectors in the literature (MME, DCN, SNE) in terms of detection performance and detection times. It is clear from the simulation studies that the detection performance of the proposed detectors was better. Cognitive radio Demmel condition number Standart condition number Spectrum sensing Spectrum sharing Enthalten in Telecommunication systems Springer US, 1992 79(2022), 3 vom: 10. Jan., Seite 397-404 (DE-627)165670193 (DE-600)1150324-5 (DE-576)034200312 1018-4864 nnns volume:79 year:2022 number:3 day:10 month:01 pages:397-404 https://doi.org/10.1007/s11235-021-00876-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW 05.00 VZ AR 79 2022 3 10 01 397-404 |
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Abstract In recent years, the use of wireless communication systems and wireless network services has increased exponentially, causing spectrum scarcity. In addition, fixed spectrum assignment policies further contribute to spectrum scarcity. The application of dynamic spectrum access, which is the basis of Cognitive Radio systems rather than fixed spectrum assignment, plays an important role in solving the spectrum scarcity problem. Dynamic spectrum access means identifying and re-evaluating idle spectrum regions. Empty spectrum regions are determined with the help of suitable detectors, a process known as spectrum detection in the literature. In this study, we propose two new detectors under the assumption of normality with the help of Standard Condition Number and Demmel Condition Number statistics. Theoretical analyses were made, and thresholds obtained for the proposed detectors. To evaluate the performance of the proposed detectors, they were compared with several detectors in the literature (MME, DCN, SNE) in terms of detection performance and detection times. It is clear from the simulation studies that the detection performance of the proposed detectors was better. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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Abstract In recent years, the use of wireless communication systems and wireless network services has increased exponentially, causing spectrum scarcity. In addition, fixed spectrum assignment policies further contribute to spectrum scarcity. The application of dynamic spectrum access, which is the basis of Cognitive Radio systems rather than fixed spectrum assignment, plays an important role in solving the spectrum scarcity problem. Dynamic spectrum access means identifying and re-evaluating idle spectrum regions. Empty spectrum regions are determined with the help of suitable detectors, a process known as spectrum detection in the literature. In this study, we propose two new detectors under the assumption of normality with the help of Standard Condition Number and Demmel Condition Number statistics. Theoretical analyses were made, and thresholds obtained for the proposed detectors. To evaluate the performance of the proposed detectors, they were compared with several detectors in the literature (MME, DCN, SNE) in terms of detection performance and detection times. It is clear from the simulation studies that the detection performance of the proposed detectors was better. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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Abstract In recent years, the use of wireless communication systems and wireless network services has increased exponentially, causing spectrum scarcity. In addition, fixed spectrum assignment policies further contribute to spectrum scarcity. The application of dynamic spectrum access, which is the basis of Cognitive Radio systems rather than fixed spectrum assignment, plays an important role in solving the spectrum scarcity problem. Dynamic spectrum access means identifying and re-evaluating idle spectrum regions. Empty spectrum regions are determined with the help of suitable detectors, a process known as spectrum detection in the literature. In this study, we propose two new detectors under the assumption of normality with the help of Standard Condition Number and Demmel Condition Number statistics. Theoretical analyses were made, and thresholds obtained for the proposed detectors. To evaluate the performance of the proposed detectors, they were compared with several detectors in the literature (MME, DCN, SNE) in terms of detection performance and detection times. It is clear from the simulation studies that the detection performance of the proposed detectors was better. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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