Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations

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dc.contributor.authorPeriola, Ayodele Abiola
dc.contributor.authorFalowo, Olabisi Emmanuel
dc.date.accessioned2021-10-08T11:06:57Z
dc.date.available2021-10-08T11:06:57Z
dc.date.issued2016
dc.description.abstractRadio astronomy organisations desire to optimise the terrestrial radio astronomy observations by mitigating against interference and enhancing angular resolution. Ground telescopes (GTs) experience interference from intersatellite links (ISLs). Astronomy source radio signals received by GTs are analysed at the high performance computing (HPC) infrastructure. Furthermore, observation limitation conditions prevent GTs from conducting radio astronomy observations all the time, thereby causing low HPC utilisation. This paper proposes mechanisms that protect GTs from ISL interference without permanent prevention of ISL data transmission and enhance angular resolution. The ISL transmits data by taking advantage of similarities in the sequence of observed astronomy sources to increase ISL connection duration. In addition, the paper proposes a mechanism that enhances angular resolution by using reconfigurable earth stations. Furthermore, the paper presents the opportunistic computing scheme (OCS) to enhance HPC utilisation. OCS enables the underutilised HPC to be used to train learning algorithms of a cognitive base station. The performances of the three mechanisms are evaluated. Simulations show that the proposed mechanisms protect GTs from ISL interference, enhance angular resolution, and improve HPC utilisation.
dc.identifier.apacitationPeriola, A. A., & Falowo, O. E. (2016). Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations. <i>Advances in Astronomy</i>, 2016(4), 174 - 177. http://hdl.handle.net/11427/35126en_ZA
dc.identifier.chicagocitationPeriola, Ayodele Abiola, and Olabisi Emmanuel Falowo "Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations." <i>Advances in Astronomy</i> 2016, 4. (2016): 174 - 177. http://hdl.handle.net/11427/35126en_ZA
dc.identifier.citationPeriola, A.A. & Falowo, O.E. 2016. Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations. <i>Advances in Astronomy.</i> 2016(4):174 - 177. http://hdl.handle.net/11427/35126en_ZA
dc.identifier.issn1687-7969
dc.identifier.issn1687-7977
dc.identifier.ris TY - Journal Article AU - Periola, Ayodele Abiola AU - Falowo, Olabisi Emmanuel AB - Radio astronomy organisations desire to optimise the terrestrial radio astronomy observations by mitigating against interference and enhancing angular resolution. Ground telescopes (GTs) experience interference from intersatellite links (ISLs). Astronomy source radio signals received by GTs are analysed at the high performance computing (HPC) infrastructure. Furthermore, observation limitation conditions prevent GTs from conducting radio astronomy observations all the time, thereby causing low HPC utilisation. This paper proposes mechanisms that protect GTs from ISL interference without permanent prevention of ISL data transmission and enhance angular resolution. The ISL transmits data by taking advantage of similarities in the sequence of observed astronomy sources to increase ISL connection duration. In addition, the paper proposes a mechanism that enhances angular resolution by using reconfigurable earth stations. Furthermore, the paper presents the opportunistic computing scheme (OCS) to enhance HPC utilisation. OCS enables the underutilised HPC to be used to train learning algorithms of a cognitive base station. The performances of the three mechanisms are evaluated. Simulations show that the proposed mechanisms protect GTs from ISL interference, enhance angular resolution, and improve HPC utilisation. DA - 2016 DB - OpenUCT DP - University of Cape Town IS - 4 J1 - Advances in Astronomy LK - https://open.uct.ac.za PY - 2016 SM - 1687-7969 SM - 1687-7977 T1 - Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations TI - Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations UR - http://hdl.handle.net/11427/35126 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/35126
dc.identifier.vancouvercitationPeriola AA, Falowo OE. Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations. Advances in Astronomy. 2016;2016(4):174 - 177. http://hdl.handle.net/11427/35126.en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Electrical Engineering
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.sourceAdvances in Astronomy
dc.source.journalissue4
dc.source.journalvolume2016
dc.source.pagination174 - 177
dc.source.urihttps://dx.doi.org/10.1155/2016/5408403
dc.subject.otherBurns
dc.subject.otherDisaster Planning
dc.subject.otherHumans
dc.subject.otherMass Casualty Incidents
dc.subject.otherNational Health Programs
dc.subject.otherPractice Guidelines as Topic
dc.subject.otherSocieties, Medical
dc.subject.otherSouth Africa
dc.titleIntelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations
dc.typeJournal Article
uct.type.publicationResearch
uct.type.resourceJournal Article
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