D3.6 Report on AI-based MIMO and mmWave Communications
This report documents findings and conclusions of AI-enhanced MIMO methods and mmWave communications for 6G Air Interface. It includes the contributions of CENTRIC WP3 on AI-based beam management and sensing in mmWave communications and AI-empowered MIMO communications. The contributions for AI-based beam management and sensing target challenges in beam tracking and prediction, and environment specific beam management. The contributions for AI-empowered MIMO target challenges in enhanced CSI acquisition, MIMO pre-processing and learning based MIMO receivers. Overall, the report demonstrates the feasibility and benefits of AI/ML based methods for 6G Air Interface.
Authors
- Alain Mourad (ORCID: https://orcid.org/0000-0002-5820-0633)
- Phillip Leithead
- Sebastian Cammerer (ORCID: https://orcid.org/0000-0002-7614-5156)
- Ramoni Adeogun (ORCID: https://orcid.org/0000-0003-1118-7141)
- Efstathios Katranaras (ORCID: https://orcid.org/0000-0002-2374-784X)
- Prasidh Ramabadran (ORCID: https://orcid.org/0000-0002-4436-6667)
- Ibrahim Hemadeh (ORCID: https://orcid.org/0000-0002-1422-0333)
- Antonio Tarrias
- Aakash Saini
- Ognen Ognenoski
- A. Chiskis
- Giuseppe Virone (ORCID: https://orcid.org/0000-0001-5683-9436)
- Rami Verbin
- Xiyu Wang (ORCID: https://orcid.org/0000-0003-2693-6192)
- Carles Navarro
- Alessandro Nordio
- Amir Ahmadian Tehrani
- Ahmet Serdar Tan
- Sebastian Robitzsch
- Deepa Gurmukhdas Jagyasi
Institutions
- Nvidia (United Kingdom) (GB)
- Sequans Communications (United Kingdom) (GB)
- InterDigital (United Kingdom) (GB)
- Keysight Technologies (United Kingdom) (GB)
- Nokia (Germany) (DE)
- Aalborg University (DK)
Publication Details
- Journal
- VBN Forskningsportal (Aalborg Universitet)
- Published
- 2025-10-17
- DOI
- https://doi.org/10.5281/zenodo.18744733
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00