Publications

The 5G ecosystem is comprised of the cellular 5G System, as well as a managed and orchestrated infrastructure providing virtualized network and service functions. The automotive industry with its stringent requirements for connected vehicles is a promising and yet challenging consumer of such 5G ecosystem. Deployment of service instances at distributed cloud resources of cellular network infrastructure edges enables localized low-latency access ...

We present a personalized approach for frequent fitness monitoring in road cycling solely relying on sensor data collected during bike rides and without the need for maximal effort tests. We use competition and training data of three world-class cyclists of Team Jumbo-Visma to construct personalised heart rate models that relate the heart rate during exercise to the pedal power signal. Our model captures the non-trivial dependency between ...

The service placement problem considers the placement of multiple connected services across a heterogeneous device network and is one of the core problems of fog computing. We discuss the complexity of this service placement problem, and propose a model for solving it using Multi-Objective Reinforcement Learning (MORL) methodologies. Using a trained neural network greatly reduces the resource consumption of the placement algorithm, making it ...

In this paper, we investigate the current state of the art in Multi- Objective Reinforcement Learning (MORL) benchmarking for problems with discrete state and action spaces. Our investigation finds that there exist a large number of different MORL benchmarks, but there seems to be little standardization among the MORL community. Through a quantative comparison, it becomes clear that many of the MORL benchmarks being used today do not have the ...

Video on Demand (VoD) accounts for a significant amount of traffic on IP networks. To meet users' expectations, network operators need means to monitor and to identify when service quality is degraded in order to take actions to avoid customer churn. Most solutions cannot monitor end-to-end conditions without modification on video player applications or require deep packet inspection techniques, which may raise privacy issues. In this ...

The 5G for CAM Working Group of the 6G Smart Networks and Services Industry Association present this contribution to the ongoing global brainstorming on 6G by providing our initial views on what 6G might look like and what implications this will have for CAM. The paper reflects on the lessons learnt during the execution of the key 5G PPP projects which have been working on 5G for CAM and contribute to identifying, from the very beginning, new ...

Cooperative Intelligent Transportation Systems (CITS) deploy the Cooperative Awareness Basic Service to exchange Cooperative Awareness Messages (CAMs) among road C-ITS entities, e.g., vehicles and roadside units (RSUs). CAMs support vehicular safety and traffic efficiency applications that require continuous status information of surrounding C-ITS entities. These messages provide awareness of traffic information in the Non-Line of Sight (NLOS) ...

In current production shop floors, a fleet of production machines and AGVs form a full manufacturing system with a high degree of automation. These current manufacturing systems need to deal with high variability of products and production tasks. Every task, however, requires a proper reconfiguration & control that is often done manually requiring complex settings and long configuration time. With AI techniques the reconfiguration of these ...

The Cooperative Intelligent Transportation System (C-ITS) testbed or simplified called the Smart Highway (Antwerp, Belgium) is designed to facilitate research in the area of distributed/edge computing and vehicular communications. The Smart Highway testbed deploys the Cooperative Awareness Basic Service to exchange Cooperative Awareness Messages (CAMs) between road C-ITS entities, e.g., C-ITS vehicles and Road-Side Units (RSUs). CAMs support ...

Road weather conditions such as ice, snow, or heavy rain can have a significant impact on driver safety. In this paper, we present an approach to continuously monitor the road conditions in real time by equipping a fleet of vehicles with sensors. Based on the observed conditions, a physical road weather model is used to forecast the conditions for the following hours. This can be used to deliver timely warnings to drivers about potentially ...