Real-time adaptive cross-layer dynamic spectrum management for fifth generation broadband copper access networks
From 01-01-2018 to 31-12-2021
Description
Research on performance optimization of the physical layer of communication networks has been focused on the development of transmission techniques such as MIMO and OFDM/DMT that effectively exploit the space and frequency dimension. However, the physical layer is usually configured statically and thus fails to properly exploit the time dimension. Upper layers in the protocol stack hold crucial information on the time dependent nature of the network traffic, which can indeed be exploited by the physical layer to dynamically select different configurations and increase overall network efficiency. Therefore, the aim of this project is to develop real-time adaptive physical layer control algrithms that can be combined with existing upper layer network functions so as to additionally exploit the time dimension optimally.
The possibilities and performance gains of real-time adaptive physical layer control will be explored in the context of fifth generation broadband copper access networks (5GBB). 5GBB envisages a hybrid fiber-DSL deployment where the fiber network is terminated near the boundary between public and private property. In such deployment, the reduced copper loop length, together with the use of specific (e.g. full duplex) transmission techniques, enables data rates of up to 10 Gbps. In addition, the specificity of the deployment scenario is to make, for the first time, the implementation of real-time adaptive physical layer control algorithms a feasible objective.
Team
- Chris Blondia, Co-promoter (External)
- Steven Latre, Co-promoter (External)
- Marc Moonen, Promoter
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Project - FWO Research Project
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
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.