AI RESEARCH
Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
arXiv CS.LG
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ArXi:2512.17466v2 Announce Type: replace-cross Optimal AP clustering and power allocation are critical in user-centric cell-free massive MIMO systems. Existing deep learning models lack flexibility to handle dynamic network configurations. Furthermore, many approaches overlook pilot contamination and suffer from high computational complexity. In this paper, we propose a lightweight transformer model that overcomes these limitations by jointly predicting AP clusters and powers solely from spatial coordinates of user devices and AP.