The year 2019 is considered ‘year zero’ for 6G research. Although many commercial telecom companies around the world are in the implementation phase of 5G, researchers think of applications and scenarios where 5G will not be able to fulfil the requirements, such as Augmented Reality applications.
This project is focused on 6G architecture, new user applications and the role of Machine Learning (ML) for 6G wireless communication networks. In particular the project studies Deep Learning (DL) (one of the types of ML) for 6G wireless channel modelling. It is envisioned that ultra-massive MIMO (UM-MIMO) will be one of the candidate for 6G physical layer technologies. In this project, we investigate how DL can be used to estimate this UM-MIMO wireless channel.