Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/4682
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dc.contributor.authorMolefe, Mlungisien_US
dc.contributor.authorNleya, Bakheen_US
dc.date.accessioned2023-03-22T08:18:02Z-
dc.date.available2023-03-22T08:18:02Z-
dc.date.issued2022-08-04-
dc.identifier.citationMolefe, M. and Nleya, B. 2022. An energy efficient resource provisioning scheme for joint all photonic and wireless networks. 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). Presented at: 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). doi:10.1109/icabcd54961.2022.9856229en_US
dc.identifier.isbn9781665484220-
dc.identifier.urihttps://hdl.handle.net/10321/4682-
dc.description.abstractFlexible joint all photonic and wireless transport networks are a promising backbone network technological solution to accommodate the various dynamic bandwidth natured applications. In this paper, we mitigate methods aimed at maximizing available resources in a joint-photonic and wireless transport network in an energy-efficient manner. In so doing, we take into account challenges posed by transmission impairments as they tend to degrade signals and reduce their optical reach. We thus propose a state-of-the-art and innovative network architecture that can efficiently process a large amount of data. This architecture is designed to cater for bandwidth-hungry and bandwidth-dynamic applications and services. We further propose a load aware energy efficient resource optimization scheme using LERA algorithm, which couples with related service reconfiguration functions to maximize higher spectral efficiencies and minimal blocking in both optical and wireless sections of the composite network. Performance analysis shows that the proposed architectural scheme based on the LERA algorithm outperforms traditional benchmark techniques in achieving minimal blocking while efficiently maximizing spectral utilization compared to legacy benchmark approaches. Hence this scheme drastically enhances the utilization of the available resources and the overall network throughput.en_US
dc.format.extent6 pen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)en_US
dc.subjectJoint all photonicen_US
dc.subjectWireless networken_US
dc.subjectThroughputen_US
dc.subjectOptimized allocationen_US
dc.subjectLERA algorithmen_US
dc.subjectEnergy efficiencyen_US
dc.titleAn energy efficient resource provisioning scheme for joint all photonic and wireless networksen_US
dc.typeConferenceen_US
dc.date.updated2023-03-20T05:18:53Z-
dc.identifier.doi10.1109/icabcd54961.2022.9856229-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairetypeConference-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Research Publications (Engineering and Built Environment)
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