Unsupervised GNN with slice-based adaptive layer for power allocation in RS-CF-mMIMO systems achieves near-optimal sum SE using LSF coefficients, outperforming DNNs with 57% fewer parameters and up to 1000x lower latency than WMMSE-ADMM.
A federated deep learning framework for cell-free RSMA networks,
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Scalable GNN-Based Power Allocation for Rate-Splitting Cell-Free Massive MIMO Systems
Unsupervised GNN with slice-based adaptive layer for power allocation in RS-CF-mMIMO systems achieves near-optimal sum SE using LSF coefficients, outperforming DNNs with 57% fewer parameters and up to 1000x lower latency than WMMSE-ADMM.