AI RESEARCH
Association-Aware GNN for Precoder Learning in Cell-Free Systems
arXiv CS.LG
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ArXi:2603.13035v1 Announce Type: cross Deep learning has been widely recognized as a promising approach for optimizing multi-user multi-antenna precoders in traditional cellular systems. However, a critical distinction between cell-free and cellular systems lies in the flexibility of user equipment (UE)-access point (AP) associations. Consequently, the optimal precoder depends not only on channel state information but also on the dynamic UE-AP association status.