An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio
Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is r...
Ausführliche Beschreibung
Autor*in: |
Alkady, Mohammad S. [verfasserIn] Abd-Elnaby, Mohammed [verfasserIn] El-Dolil, Sami A. [verfasserIn] Abd El-Samie, Fathi E. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Wireless personal communications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994, 106(2019), 2 vom: 21. März, Seite 307-319 |
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Übergeordnetes Werk: |
volume:106 ; year:2019 ; number:2 ; day:21 ; month:03 ; pages:307-319 |
Links: |
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DOI / URN: |
10.1007/s11277-018-6071-0 |
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Katalog-ID: |
SPR018605737 |
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520 | |a Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. | ||
650 | 4 | |a Cognitive radio |7 (dpeaa)DE-He213 | |
650 | 4 | |a Spectrum sensing |7 (dpeaa)DE-He213 | |
650 | 4 | |a Throughput |7 (dpeaa)DE-He213 | |
650 | 4 | |a Spectrum utilization |7 (dpeaa)DE-He213 | |
700 | 1 | |a Abd-Elnaby, Mohammed |e verfasserin |4 aut | |
700 | 1 | |a El-Dolil, Sami A. |e verfasserin |4 aut | |
700 | 1 | |a Abd El-Samie, Fathi E. |e verfasserin |4 aut | |
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10.1007/s11277-018-6071-0 doi (DE-627)SPR018605737 (SPR)s11277-018-6071-0-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Alkady, Mohammad S. verfasserin aut An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. Cognitive radio (dpeaa)DE-He213 Spectrum sensing (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Spectrum utilization (dpeaa)DE-He213 Abd-Elnaby, Mohammed verfasserin aut El-Dolil, Sami A. verfasserin aut Abd El-Samie, Fathi E. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 106(2019), 2 vom: 21. März, Seite 307-319 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:106 year:2019 number:2 day:21 month:03 pages:307-319 https://dx.doi.org/10.1007/s11277-018-6071-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 106 2019 2 21 03 307-319 |
spelling |
10.1007/s11277-018-6071-0 doi (DE-627)SPR018605737 (SPR)s11277-018-6071-0-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Alkady, Mohammad S. verfasserin aut An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. Cognitive radio (dpeaa)DE-He213 Spectrum sensing (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Spectrum utilization (dpeaa)DE-He213 Abd-Elnaby, Mohammed verfasserin aut El-Dolil, Sami A. verfasserin aut Abd El-Samie, Fathi E. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 106(2019), 2 vom: 21. März, Seite 307-319 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:106 year:2019 number:2 day:21 month:03 pages:307-319 https://dx.doi.org/10.1007/s11277-018-6071-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 106 2019 2 21 03 307-319 |
allfields_unstemmed |
10.1007/s11277-018-6071-0 doi (DE-627)SPR018605737 (SPR)s11277-018-6071-0-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Alkady, Mohammad S. verfasserin aut An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. Cognitive radio (dpeaa)DE-He213 Spectrum sensing (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Spectrum utilization (dpeaa)DE-He213 Abd-Elnaby, Mohammed verfasserin aut El-Dolil, Sami A. verfasserin aut Abd El-Samie, Fathi E. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 106(2019), 2 vom: 21. März, Seite 307-319 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:106 year:2019 number:2 day:21 month:03 pages:307-319 https://dx.doi.org/10.1007/s11277-018-6071-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 106 2019 2 21 03 307-319 |
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10.1007/s11277-018-6071-0 doi (DE-627)SPR018605737 (SPR)s11277-018-6071-0-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Alkady, Mohammad S. verfasserin aut An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. Cognitive radio (dpeaa)DE-He213 Spectrum sensing (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Spectrum utilization (dpeaa)DE-He213 Abd-Elnaby, Mohammed verfasserin aut El-Dolil, Sami A. verfasserin aut Abd El-Samie, Fathi E. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 106(2019), 2 vom: 21. März, Seite 307-319 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:106 year:2019 number:2 day:21 month:03 pages:307-319 https://dx.doi.org/10.1007/s11277-018-6071-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 106 2019 2 21 03 307-319 |
allfieldsSound |
10.1007/s11277-018-6071-0 doi (DE-627)SPR018605737 (SPR)s11277-018-6071-0-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Alkady, Mohammad S. verfasserin aut An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. Cognitive radio (dpeaa)DE-He213 Spectrum sensing (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Spectrum utilization (dpeaa)DE-He213 Abd-Elnaby, Mohammed verfasserin aut El-Dolil, Sami A. verfasserin aut Abd El-Samie, Fathi E. verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 106(2019), 2 vom: 21. März, Seite 307-319 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:106 year:2019 number:2 day:21 month:03 pages:307-319 https://dx.doi.org/10.1007/s11277-018-6071-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 106 2019 2 21 03 307-319 |
language |
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Wireless personal communications |
authorswithroles_txt_mv |
Alkady, Mohammad S. @@aut@@ Abd-Elnaby, Mohammed @@aut@@ El-Dolil, Sami A. @@aut@@ Abd El-Samie, Fathi E. @@aut@@ |
publishDateDaySort_date |
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Alkady, Mohammad S. |
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Alkady, Mohammad S. ddc 620 bkl 53.00 misc Cognitive radio misc Spectrum sensing misc Throughput misc Spectrum utilization An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio |
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620 ASE 53.00 bkl An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio Cognitive radio (dpeaa)DE-He213 Spectrum sensing (dpeaa)DE-He213 Throughput (dpeaa)DE-He213 Spectrum utilization (dpeaa)DE-He213 |
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An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio |
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An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio |
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Alkady, Mohammad S. Abd-Elnaby, Mohammed El-Dolil, Sami A. Abd El-Samie, Fathi E. |
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adaptive sensing time based on snr for spectrum utilization enhancement in cognitive radio |
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An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio |
abstract |
Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. |
abstractGer |
Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. |
abstract_unstemmed |
Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. It allows the secondary user to use the band in which the primary user is idle. Spectrum sensing is a major task in cognitive radio systems. In this task, the secondary user is required to sense the frequency spectrum and vacate the band once the primary user is detected. The actual utilization and the achievable throughput of a cognitive radio system depend on the correctly detected holes and the spectrum sensing time. In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput. |
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An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio |
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Abd-Elnaby, Mohammed El-Dolil, Sami A. Abd El-Samie, Fathi E. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR018605737</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111061841.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11277-018-6071-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR018605737</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11277-018-6071-0-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alkady, Mohammad S.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="3"><subfield code="a">An Adaptive Sensing Time Based on SNR for Spectrum Utilization Enhancement in Cognitive Radio</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Cognitive radio is considered as the most intelligent solution to enable flexible use of the frequency spectrum. 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In this paper, a new adaptive sensing time technique based on the Signal-to-Noise Ratio (SNR) is proposed to improve the actual spectrum utilization and the achievable throughput.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cognitive radio</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spectrum sensing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Throughput</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spectrum utilization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Abd-Elnaby, Mohammed</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">El-Dolil, Sami A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Abd El-Samie, Fathi E.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Wireless personal communications</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994</subfield><subfield code="g">106(2019), 2 vom: 21. März, Seite 307-319</subfield><subfield code="w">(DE-627)271179120</subfield><subfield code="w">(DE-600)1479327-1</subfield><subfield code="x">1572-834X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:106</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:2</subfield><subfield code="g">day:21</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:307-319</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11277-018-6071-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" 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