The work carried out in the project can be divided in the following general topic:
- Applying machine learning methods to optimize the performance of the new generation of wireless cellular systems: A major part of WindMill project addressed novel generations of cellular systems, like 5G and beyond 5G networks. These systems are incredibly complex, such that even their analytical modelling is often impossible. Machine learning tools are well suited for such scenarios and in the project they were successfully applied to a number of related research challenges, e.g. channel charting (creating the radio maps of mobile network users), use of intelligent surfaces (advanced antenna arrays) for localization purposes, and cell-free massive MIMO systems.
- Optimization of the use of resources in wireless access networks: With the ongoing transition to wireless everywhere and anywhere, wireless access is becoming the critical segment that requires careful optimization of the use of time, spectrum, and energy resources. WindMill project investigated application of deep reinforcement learning for provision of an efficient and fair access to massive number of users in the wireless access (characteristic for IoT networks), use of neural networks to improve spectral efficiency, and use of learning-based methods for resource allocation and scheduling in WiFi networks.
Tailoring and optimizing machine learning algorithms and frameworks for the application in wireless communications: Problems in wireless communications come with their own challenges and limitations that require adjustment and adaptation of machine learning algorithms. In WindMill project, it was shown that robust Bayesian learning can deal with the lack of training data and model inconsistencies, such that it can be effectively used for a number of important applications, like localization and spectrum sensing.
Every week the Windmill project posted on the KSP either a personal blog addressing topics for general viewers or a academic topic for those with a specialised knowledge of the field. In total the views seen through Windmill's YouTube channel goet 9697 views.
The list of publications totals 35 papers. They can be found at
https://windmill-itn.eu/publications/(se abrirá en una nueva ventana)The ESRs presented papers and topics at a number of conferences and workshops in 2022, Helsinki and Serbia, and 2023, Spain. Plans for an earlier introduction to academic presentations were made but changed due to repeated Corona shutdowns.
