Machine-Learning based fault diagnosis in flexible optical networks
Apply machine learning techniques to predict and detect faults based on available monitored data of a flexible optical network provided by ADVA.
Flexible optical networks achieve a significant increase of network capacity by assigning as much spectrum to the demands as needed. With advances in transponders supporting software tunable channel configurations, network planners are able to select the best combination of data rate, modulation format and forward error correction (FEC) for each light-path. However, the impact of failures in these networks is higher due to the closeness between channels as well as the low OSNR margins.
Hence, in this thesis we will apply machine learning techniques to predict and detect faults based on available monitored data of a flexible optical network provided by ADVA.
Coherent Optical High Speed Modems
- yle="color: black; mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt;">Characterization of Coherent optical high speed modems
- yle="color: black; mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt;">Flexible bit rates of 100 Gbps to 600 Gbps with respect to possible standardization of these interfaces
Placing LiFi OFEs in a 3D space
LiFi (Light-fidelity) is becoming an increasingly important technology as the unlicensed ISM band gets overcrowded. LiFi, with its high data rates, emerges as a promising solution to provide connectivity using LED lights thereby reducing the interference with other wireless technologies. Due to the unique properties of a visible light communication system, the position of the access points/LEDs/Optical front end (OFE) has a significant effect on the network coverage and illumination level in an indoor area.
The placement of these OFEs is a 3D placement problem. This work involves optimizing the placement of the OFEs given a set of requirements eg. throughput, luminance, etc. Given these requirements the goal is to find the optimal placement such that, for example, throughput is maximized.
- H. Haas, L. Yin, Y. Wang and C. Chen, "What is LiFi?," in Journal of Lightwave Technology, vol. 34, no. 6, pp. 1533-1544, 15 March15, 2016, doi: 10.1109/JLT.2015.2510021.
- Uluturk, I., Uysal, I., & Chen, K. C. (2019, January). Efficient 3d placement of access points in an aerial wireless network. In 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) (pp. 1-7). IEEE.
- Sound knowledge of Wireless Communication
- Interest to learn new communication technologies
- Experience with optimization problems is an advantage
Implementation of a Techno-Economic tool for VLC
Development and implementation in Excel/VBA of visible light communication (VLC) techno-economic tool for IoT services.
Future IoT will need wireless links with high data rates, low latency and reliable connectivity despite the limited radio spectrum. Connected lighting is an interesting infrastructure for IoT services because it enables visible light communication (VLC), i.e. a wireless communication using unlicensed light spectrum. This work will aim at developing a tool to perform an economic evaluation of the proposed solution in the particular case of a smart office.
For that purpose, the following tasks will have to be performed:
- Definition of a high-level framework specifying the different modules that will be implemented as well as the required inputs and the expected outputs of the tool.
- Development of a cost evaluation Excel-VBA tool. This tool will allow to evaluate different variations of the selected case study and if possible, to compare different alternative models (e.g., dimensioning) or scenarios (e.g., building types).
- Excel and VBA
Impact of noise-aware routing on different multiplexing techniques in flexible optical networks
optical networks, RSA
Implementation and evaluation of different multiplexing techniques
Optical core networks deploy fixed grid in order to accommodate their demands. The trend is however, migrate towards flexgrid networks able to use as much spectrum as required by the demand allowing a better use of the spectrum. However, the Routing and Wavelength Assignment (RWA) paradigm becomes more complex as it has to find the suitable spectrum of the demand.
This thesis will consider different multiplexing alternatives: space division, band division multiplexing, etc.
The objective is to compare the performance, throughput, BoM, etc. of the different alternatives for different networks and demand evolution matrices.
Java programming skills
Basic knowledge of flexible optical networks