Towards an AI native User-Centric Air Interface for 6G Networks

Part of EU Open Research Repository
Published October 17, 2025 | Version 1.1
Project deliverable Open

D3.6 Report on AI-based MIMO and mmWave Communications

Authors/Creators

  • 1. ROR icon Aalborg University
  • 2. CNR
  • 3. ROR icon InterDigital (United Kingdom)
  • 4. Keysight Technologies
  • 5. ROR icon Nokia (Germany)
  • 6. ROR icon 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_v1-1.pdf

Files (10.2 MB)

Name Size Download all
md5:8c1b0bbcbf09eadc716f314d58488744
10.2 MB Preview Download

Additional details

Funding

European Commission
CENTRIC - Towards an AI-native, user-centric air interface for 6G networks 101096379

Software

Repository URL
https://centric-sns.eu/public-deliverables/