QoS and rate enhancement in DVB-S2 using fuzzy rule based system.
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| Title: | QoS and rate enhancement in DVB-S2 using fuzzy rule based system. |
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| Authors: | Atta-ur-Rahman1 ataurahman@biit.edu.pk, Qureshi, Ijaz Mansoor2, Malik, Aqdas Naveed3, Naseem, Muhammad Tahir1,4 |
| Source: | Journal of Intelligent & Fuzzy Systems. 2016, Vol. 30 Issue 2, p801-810. 10p. |
| Subjects: | Adaptive codes, Adaptive modulation, Quality of service, Fuzzy systems, Telecommunication systems, Constrained optimization |
| Abstract: | Adaptive Coding and Modulation (ACM) is one of the most promising features in many communication systems like WIFI, WiMAX and DVB-S2, in terms of throughput and link utilization. In this way the transmission parameters like power, code rate and modulation symbol are adapted according to the varying link conditions. In this paper we propose a Fuzzy Rule Based System (FRBS) for an efficient ACM in DVB-S2 standard. We have taken it as a constrained optimization problem in which the link reliability and throughput is maximized, while power constraint is satisfied. To do so we have selected the standard transmission Modulations and Codes (MODCODs) optimally using FRBS, according to the DVB-S2 downlink channel state information (CSI) at different sites. The FRBS module can easily be embedded in the ACM management module (AMM) which is a software module. Significance of the proposed scheme over other schemes is shown through simulations. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 115706517 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: QoS and rate enhancement in DVB-S2 using fuzzy rule based system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Atta-ur-Rahman%22">Atta-ur-Rahman</searchLink><relatesTo>1</relatesTo><i> ataurahman@biit.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Qureshi%2C+Ijaz+Mansoor%22">Qureshi, Ijaz Mansoor</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Malik%2C+Aqdas+Naveed%22">Malik, Aqdas Naveed</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Naseem%2C+Muhammad+Tahir%22">Naseem, Muhammad Tahir</searchLink><relatesTo>1,4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>. 2016, Vol. 30 Issue 2, p801-810. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Adaptive+codes%22">Adaptive codes</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+modulation%22">Adaptive modulation</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication+systems%22">Telecommunication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Constrained+optimization%22">Constrained optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Adaptive Coding and Modulation (ACM) is one of the most promising features in many communication systems like WIFI, WiMAX and DVB-S2, in terms of throughput and link utilization. In this way the transmission parameters like power, code rate and modulation symbol are adapted according to the varying link conditions. In this paper we propose a Fuzzy Rule Based System (FRBS) for an efficient ACM in DVB-S2 standard. We have taken it as a constrained optimization problem in which the link reliability and throughput is maximized, while power constraint is satisfied. To do so we have selected the standard transmission Modulations and Codes (MODCODs) optimally using FRBS, according to the DVB-S2 downlink channel state information (CSI) at different sites. The FRBS module can easily be embedded in the ACM management module (AMM) which is a software module. Significance of the proposed scheme over other schemes is shown through simulations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/IFS-151802 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 801 Subjects: – SubjectFull: Adaptive codes Type: general – SubjectFull: Adaptive modulation Type: general – SubjectFull: Quality of service Type: general – SubjectFull: Fuzzy systems Type: general – SubjectFull: Telecommunication systems Type: general – SubjectFull: Constrained optimization Type: general Titles: – TitleFull: QoS and rate enhancement in DVB-S2 using fuzzy rule based system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Atta-ur-Rahman – PersonEntity: Name: NameFull: Qureshi, Ijaz Mansoor – PersonEntity: Name: NameFull: Malik, Aqdas Naveed – PersonEntity: Name: NameFull: Naseem, Muhammad Tahir IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 30 – Type: issue Value: 2 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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