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https://hdl.handle.net/10321/3472
Title: | Evaluation of wavelength congestion in transparent optical transport networks | Authors: | Gomba, Ndadzibaya Masimba Nleya, Bakhe Mutsvangwa, Andrew Chidzonga, Richard F. |
Keywords: | Transparent networks;Q-factor tool;Wavelength congestion;Blocking probability;Path congestion;Network congestion;Physical impairments | Issue Date: | Aug-2020 | Publisher: | IEEE | Source: | Masimba, 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/icabcd49160.2020.9183819 | Conference: | 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) | Abstract: | Transparent 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. |
URI: | http://hdl.handle.net/10321/3472 | DOI: | 10.1109/icabcd49160.2020.9183819 |
Appears in Collections: | Research Publications (Engineering and Built Environment) |
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evaluation of wavelength congestion.pdf | 883.92 kB | Adobe PDF | View/Open |
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