Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3472
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dc.contributor.authorGomba, Ndadzibaya Masimbaen_US
dc.contributor.authorNleya, Bakheen_US
dc.contributor.authorMutsvangwa, Andrewen_US
dc.contributor.authorChidzonga, Richard F.en_US
dc.date.accessioned2020-09-08T07:26:37Z-
dc.date.available2020-09-08T07:26:37Z-
dc.date.issued2020-08-
dc.identifier.citationMasimba, G., Nleya, B., Mutsvangwa, A., Chidzonga, R. 2020. Evaluation of wavelength congestion in transparent optical transport networks. Presented at: 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). Available: doi:10.1109/icabcd49160.2020.9183819en_US
dc.identifier.urihttp://hdl.handle.net/10321/3472-
dc.description.abstractTransparent Optical networks are generally regarded as a possible solution for the provisioning of ultrahigh speed transmission and switching capabilities to accommodate bandwidth hungry applications and services. Most of such applications and services involve streaming of high-definition video. However, since al source and destination pair establishments within a given Transparent optical transport network are assumed to be within optical signal reach, such networks do not incorporate regenerators. The lack of regenerators often leads to a serious degradation of the signal to noise ratio as a result of the effects of physical layer impairments accumulated as it traverses the network. This motivates us to propose and present a Q-factor tool that takes into account the various physical layer impairments. The proposed tool’s efficacy is evaluated by way of simulation.en_US
dc.format.extent5 pen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectTransparent networksen_US
dc.subjectQ-factor toolen_US
dc.subjectWavelength congestionen_US
dc.subjectBlocking probabilityen_US
dc.subjectPath congestionen_US
dc.subjectNetwork congestionen_US
dc.subjectPhysical impairmentsen_US
dc.titleEvaluation of wavelength congestion in transparent optical transport networksen_US
dc.typeConferenceen_US
dc.date.updated2020-09-02T07:32:01Z-
dc.relation.conference2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)en_US
dc.identifier.doi10.1109/icabcd49160.2020.9183819-
item.grantfulltextopen-
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item.openairetypeConference-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Research Publications (Engineering and Built Environment)
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