Maximising Achievable Throughput in Optical Network Design

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Maximising Achievable Throughput in Optical Network Design

Matzner, Robin Michael; (2025) Maximising Achievable Throughput in Optical Network Design. Doctoral thesis (Ph.D), UCL (University College London). Green open access

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Abstract

This thesis is an investigation into maximising throughput for optical core network design. To calculate the maximum achievable throughput that an optical network can sustain, an NP-hard routing optimisation problem needs to be solved and therefore designing the network to maximise this property is computationally difficult. Both structural and physical properties impact the maximum achievable throughput of optical networks. Therefore, the SNR-BA generative graph model is proposed in Chapter 3, to investigate how structural and physical properties affect the maximum achievable throughput of optical networks. The results showed that the networks with better connectivity had on average 40% lower wavelength requirements and allocated between 8-11% more lightpaths than the SNR-BA model. However, with path lengths between 95 and 215% longer than the SNR-BA networks, they achieved 30-32% less maximum achievable throughput. This demonstrated why including physical properties within the design of optical networks is important. More computationally efficient methods for calculating maximum achievable throughput were needed for it to be included in physical topology design. Chapter 4 explores several strategies to reduce this computational complexity, including linear programming, geometric deep learning and graph theoretical metric correlation. Results in Chapter 4 show that the proposed graph theoretical metric, demand weighted cost, had a high inverse-linear correlation to maximum achievable throughput and thus was chosen to be embedded within the optimisation problem as a proxy for maximum achievable throughput. Chapter 5 investigates whether a proxy such as demand weighted cost can maximise the maximum achievable throughput of optical networks. Compared to a control-set the demand weighted cost showed to increase maximum achievable throughput of networks by up to 63% compared to the control-set. However, the lowest demand weighted cost did not always lead to the highest maximum achievable throughput. This showed that the objective pushes networks in the right direction, however cannot directly optimise maximum achievable throughput. To achieve this, limiting cut theory was employed, achieving a 106% increase in maximum achievable throughput compared to the control- set and thus directly optimising maximum achievable throughput of optical networks. The results of this work can be applied to future network design and to ensure intelligent access to achievable capacity.

Type:	Thesis (Doctoral)
Qualification:	Ph.D
Title:	Maximising Achievable Throughput in Optical Network Design
Open access status:	An open access version is available from UCL Discovery
Language:	English
Additional information:	Copyright © The Author 2025. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms.
UCL classification:	UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI:	https://discovery.ucl.ac.uk/id/eprint/10204124