Our groups offers Master thesis topics to students in Engineering (Computer Science, Electrical Engineering, IEOR), Engineering Technology as well as Business Engineering.
Topics can relate to the
development of business models and business cases, e.g. for smart care solutions
techno-economic comparison of different technological scenarios
conceptual work, e.g. using game theory or multi-side market models
work with an implementation focus, e.g. extending our telecom network planning library
We study applications in a wide rage of domains: novel networking approaches, smart cities and smart mobility, smart energy and smart home, smart care, smart factory and smart media.
Several Master thesis topics can be executed in strong cooperation with industry partners.
For Academic year 2020-2021 , we offer following topics:
Nowadays, telecommunication networks consist of a connection of different vendor-dependent hardware devices. Launching a new service often means connecting more devices and includes a significant set-up effort. Due to rapid innovation, and the fact that hardware-based devices now have shorter life, this becomes increasingly difficult and costly, leading to a high uncertainty couple to the return on investment for deploying new services. In order to address these issues, Network Function Virtualization (NFV) implements network functions into software so that they can run on a large range of industry-standard hardware. The chain of several virtual network functions (VNFs) aiming to provide a specific service can be seen as network slice in a virtualized network. This thesis aims at studying the impact of network virtualization and slicing for the dynamic allocation of network resources in virtualized (access) networks on the network operations and the associated operational costs.
Telecommunications networks providing new services and applications, both fixed and wireless, struggle to follow the requirements set by these services and applications, and require expensive upgrades coupled with high investments. One solution to overcome these large investments for each individual network operator, is to share the deployed infrastructure, and allow different service providers to use this infrastructure to connect their customers to innovative services. The goal of this thesis is to develop a techno-economic model that identifies the challenges and opportunities of deploying such an open access network in the 5G environment.
Accenture estimates that 19% of Belgians are transport poor. The lack of access to mobility is an issue that severely impacts people’s ability to participate in society. It leads to an opportunity deficit, a waste of time and money, and social exclusion. Nonetheless, little effort has gone into defining, quantifying, and addressing it. In this research project, metrics will be developed that quantify transportation poverty with the intent to support policy-making in the domain.
Cooperative Intelligent Transport Systems (C-ITS), being communication between vehicles, infrastructure and other road users, is a crucial element in increasing the safety of future automated vehicles and their full integration in the overall transport system. However, the adoption of C-ITS is facing a major challenge: the automotive industry is in conflict about which connectivity standard to use: IEEE 802.11p-based standards (ITS-G5) versus the support of V2X services in the long-term evolution (LTE) standard. This thesis will use the concept of game theory to qualitatively describe how this “standard battle” can be approached.
You can always contact us to propose your own topic.