Published June 30, 2025
| Version 1.0
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D3.6 Report on AI-based MIMO and mmWave Communications
Creators
- Tarrías, Antonio1
- Wang, Xiyu1
- Adeogun, Ramoni1
- Nordio, Alessandro2
- Virone, Giuseppe2
- Serdar Tan, Ahmet3
- Ognenoski, Ognen3
- Gurmukhdas Jagyasi, Deepa3
- Hemadeh, Ibrahim3
- Robitzsch, Sebastian3
- Mourad, Alain3
- Leithead, Phillip3
- Navarro, Carles4
- Saini, Aakash5
- Ahmadian Tehrani, Amir5
- Cammerer, Sebastian6
- Katranaras, Efstathios7
- Ramabadran, Prasidh7
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1.
Aalborg University
- 2. CNR
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3.
InterDigital (United Kingdom)
- 4. Keysight Technologies
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5.
Nokia (Germany)
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6.
Nvidia (United Kingdom)
- 7. Sequans
Description
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.
Files
D3.6_report_final.pdf
Files
(10.0 MB)
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