Cross-layer optimization with real-time adaptive dynamic spectrum management for fourth generation broadband access networks
From 01-01-2013 to 31-12-2016
Description
To enable next generation reliable and fast broadband internet access, it will be crucial to develop innovative broadband access network technologies. The fourth generation broadband access (4GBB) network currently envisaged consists of a hybrid fiber –digital subscriber line (DSL) deployment, in which fiber is brought to the curb and existing telephony DSL twisted-copper pairs are used to bridge the last 20-200 meters. Techno-economic analysis has identified this 4GBB network as the most viable option for the next 15-20 years, and a final step towards ultimate fiber-to-the-home broadband access, targeting data rates of up to gigabits per second. Providing these data rates over twisted-copper pairs is currently a significant challenge. State-of-the-art wireline transmission techniques, such as multiple-input/multiple output (MIMO) signaling and discrete multitone (DMT) modulation, succeed in optimally exploiting the space and frequency dimension to boost data rates, but fail to properly exploit the time dimension. The aim of this project is to develop a radically new concept of real-time adaptive dynamic spectrum management that can be combined with MIMO-DMT techniques currently under development so as to additionally exploit the time dimension optimally. For this a fully integrated and customized cross-layer optimization framework will be developed for 4GBB, in order to exploit the full potential of the envisaged network infrastructure.
Team
- Paschalis Tsiaflakis, Co-promoter
- Chris Blondia, Co-promoter (External)
- Marc Moonen, Promoter
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Research Grant - FWO Research Grant
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
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