An optimal bandwidth allocation algorithm for improving QoS in WiMAX
Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over larg...
Ausführliche Beschreibung
Autor*in: |
Ahmed, Zeeshan [verfasserIn] Hamma, Salima [verfasserIn] Nasir, Zafar [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995, 78(2019), 18 vom: 03. Juni, Seite 25937-25976 |
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Übergeordnetes Werk: |
volume:78 ; year:2019 ; number:18 ; day:03 ; month:06 ; pages:25937-25976 |
Links: |
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DOI / URN: |
10.1007/s11042-019-07801-z |
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Katalog-ID: |
SPR016028090 |
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520 | |a Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. | ||
650 | 4 | |a IEEE 802.16 |7 (dpeaa)DE-He213 | |
650 | 4 | |a WiMAX |7 (dpeaa)DE-He213 | |
650 | 4 | |a QoS |7 (dpeaa)DE-He213 | |
650 | 4 | |a Packet scheduling |7 (dpeaa)DE-He213 | |
650 | 4 | |a Bandwidth allocation |7 (dpeaa)DE-He213 | |
700 | 1 | |a Hamma, Salima |e verfasserin |4 aut | |
700 | 1 | |a Nasir, Zafar |e verfasserin |4 aut | |
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10.1007/s11042-019-07801-z doi (DE-627)SPR016028090 (SPR)s11042-019-07801-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Ahmed, Zeeshan verfasserin aut An optimal bandwidth allocation algorithm for improving QoS in WiMAX 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. IEEE 802.16 (dpeaa)DE-He213 WiMAX (dpeaa)DE-He213 QoS (dpeaa)DE-He213 Packet scheduling (dpeaa)DE-He213 Bandwidth allocation (dpeaa)DE-He213 Hamma, Salima verfasserin aut Nasir, Zafar verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 78(2019), 18 vom: 03. Juni, Seite 25937-25976 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:78 year:2019 number:18 day:03 month:06 pages:25937-25976 https://dx.doi.org/10.1007/s11042-019-07801-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE 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_101 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 78 2019 18 03 06 25937-25976 |
spelling |
10.1007/s11042-019-07801-z doi (DE-627)SPR016028090 (SPR)s11042-019-07801-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Ahmed, Zeeshan verfasserin aut An optimal bandwidth allocation algorithm for improving QoS in WiMAX 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. IEEE 802.16 (dpeaa)DE-He213 WiMAX (dpeaa)DE-He213 QoS (dpeaa)DE-He213 Packet scheduling (dpeaa)DE-He213 Bandwidth allocation (dpeaa)DE-He213 Hamma, Salima verfasserin aut Nasir, Zafar verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 78(2019), 18 vom: 03. Juni, Seite 25937-25976 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:78 year:2019 number:18 day:03 month:06 pages:25937-25976 https://dx.doi.org/10.1007/s11042-019-07801-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE 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_101 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 78 2019 18 03 06 25937-25976 |
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10.1007/s11042-019-07801-z doi (DE-627)SPR016028090 (SPR)s11042-019-07801-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Ahmed, Zeeshan verfasserin aut An optimal bandwidth allocation algorithm for improving QoS in WiMAX 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. IEEE 802.16 (dpeaa)DE-He213 WiMAX (dpeaa)DE-He213 QoS (dpeaa)DE-He213 Packet scheduling (dpeaa)DE-He213 Bandwidth allocation (dpeaa)DE-He213 Hamma, Salima verfasserin aut Nasir, Zafar verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 78(2019), 18 vom: 03. Juni, Seite 25937-25976 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:78 year:2019 number:18 day:03 month:06 pages:25937-25976 https://dx.doi.org/10.1007/s11042-019-07801-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE 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_101 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 78 2019 18 03 06 25937-25976 |
allfieldsGer |
10.1007/s11042-019-07801-z doi (DE-627)SPR016028090 (SPR)s11042-019-07801-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Ahmed, Zeeshan verfasserin aut An optimal bandwidth allocation algorithm for improving QoS in WiMAX 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. IEEE 802.16 (dpeaa)DE-He213 WiMAX (dpeaa)DE-He213 QoS (dpeaa)DE-He213 Packet scheduling (dpeaa)DE-He213 Bandwidth allocation (dpeaa)DE-He213 Hamma, Salima verfasserin aut Nasir, Zafar verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 78(2019), 18 vom: 03. Juni, Seite 25937-25976 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:78 year:2019 number:18 day:03 month:06 pages:25937-25976 https://dx.doi.org/10.1007/s11042-019-07801-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE 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_101 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 78 2019 18 03 06 25937-25976 |
allfieldsSound |
10.1007/s11042-019-07801-z doi (DE-627)SPR016028090 (SPR)s11042-019-07801-z-e DE-627 ger DE-627 rakwb eng 070 004 ASE 54.87 bkl Ahmed, Zeeshan verfasserin aut An optimal bandwidth allocation algorithm for improving QoS in WiMAX 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. IEEE 802.16 (dpeaa)DE-He213 WiMAX (dpeaa)DE-He213 QoS (dpeaa)DE-He213 Packet scheduling (dpeaa)DE-He213 Bandwidth allocation (dpeaa)DE-He213 Hamma, Salima verfasserin aut Nasir, Zafar verfasserin aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 78(2019), 18 vom: 03. Juni, Seite 25937-25976 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:78 year:2019 number:18 day:03 month:06 pages:25937-25976 https://dx.doi.org/10.1007/s11042-019-07801-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE 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_101 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.87 ASE AR 78 2019 18 03 06 25937-25976 |
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optimal bandwidth allocation algorithm for improving qos in wimax |
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An optimal bandwidth allocation algorithm for improving QoS in WiMAX |
abstract |
Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. |
abstractGer |
Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. |
abstract_unstemmed |
Abstract In the last few years, the term “quality of service” has become increasingly synonymous with digital cellular networks and has greatly influenced the way we manage network traffic. The IEEE 802.16 standard is a broadband wireless access system that enables high speed data transfer over large distances. It is one of the standards that meet the IMT-Advanced specifications. It also incorporates a quality of service framework to provide quality of service to both realtime and non-realtime multimedia applications. One of the critical contributions of a QoS framework is efficient scheduling of network traffic. This paper dilates on a two-level scheduling algorithm for base station uplink scheduler to provide quality of service to various classes of traffic. The proposed algorithm ensures efficient and fair multimedia transmission. We also deliberated on a video transmission framework based on the proposed algorithm. The performance of two-level scheduling algorithm has been extensively analyzed through simulations and the results have effectively established the efficacy of the proposed algorithm. The results reveal that the the proposed algorithm is able to fairly and efficiently schedule network traffic while ensuring quality of service for all classes of traffic. |
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container_issue |
18 |
title_short |
An optimal bandwidth allocation algorithm for improving QoS in WiMAX |
url |
https://dx.doi.org/10.1007/s11042-019-07801-z |
remote_bool |
true |
author2 |
Hamma, Salima Nasir, Zafar |
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Hamma, Salima Nasir, Zafar |
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doi_str |
10.1007/s11042-019-07801-z |
up_date |
2024-07-03T20:17:02.494Z |
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score |
7.4002256 |