Abstract
The rapid increase in internet traffic due to widespread internet access and technological advancements such as 5G, cloud omputing, Internet of Things (IoT), and virtual reality has created a complex environment for network operators and internet service providers. To ensure profitability and improve user experience, these entities need to implement long-term strategies that optimize network planning, cost, and efficiency. These strategies should consider market demands, evolving technologies, and prioritize resource utilization, customer expansion, service quality, and cost reduction. The thesis mainly focuses on network design and optimization. It begins with a concise introduction to optical transport network elements and the primary motivations for networking. The use of dense wavelength division multiplexing (DWDM) systems is described, along with the conventional network problems associated with routing and wavelength assignment, as well as routing and spectrum assignment. The thesis also includes a brief discussion on the power consumption of the Internet, with a particular focus on routers as power-hungry network components. Next, the thesis delves into the digital subcarrier multiplexing point-to-multipoint (P2MP) transceiver, explaining its architecture and function. Several optimization frameworks based on integer linear Programming (ILP) are proposed to effectively deploy P2MP transceivers in both filtered and filterless scenarios. Different protection scenarios are also explored. Furthermore,the thesis investigates a comprehensive multi-period planning scenarios that take into account evolving traffic and transceiver technology. The results demonstrate that P2MP transceivers can reduce transceiver costs by up to 35% compared to traditional point-to-point transceivers. Finally, the thesis presents a comprehensive and optimized physical design for horseshoe networks, integrating the utilization of P2MP transceivers and a filterless architecture. This design approach offers a simplified and cost-effective solution while leveraging the savingsoffered by P2MP technology.
Date of Award | Aug 2023 |
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Original language | English |
Awarding Institution |
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Supervisor | Sergei Turitsyn (Supervisor) & Yaroslav Prylepskiy (Supervisor) |