D4.3 AI driven Resource Allocation for High Dynamic Ultra-dens D2D Network
D4.3 AI driven Resource Allocation for High Dynamic Ultra-dens D2D Network
This document updates the progress made in the different research areas related to 6G Access Architecture performed in the 6G BRAINS project. The updated research areas in this document include: Artificial Intelligence (AI) based scheduler for a 5G Cell-Free (CF) networks with Integrated Access and Back-haul (IAB) AI based Grant-free NOMA for massive Machine-Type Communication Integrated with Intelligent beamforming Hybrid user terminal modelling and Resource Allocation for the cell-free D2D network Intelligent IAB with Beam Steering based on User Location Advanced Test and Simulation Tools supporting 6G BRAINS research
- University of Leicester United Kingdom
- Brunel University London United Kingdom
Grant free, AI, IAB, Cell Free, Reinforement Learning, Device to Device
Grant free, AI, IAB, Cell Free, Reinforement Learning, Device to Device
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