GGML uses gradient-guided meta-learning with KAN networks to alternately optimize analog and digital precoders in mmWave MU-MISO systems, outperforming conventional hybrid precoding baselines in simulations.
Rethinking wmmse: Can its complexity scale linearly with the number of bs antennas ?
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Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning
GGML uses gradient-guided meta-learning with KAN networks to alternately optimize analog and digital precoders in mmWave MU-MISO systems, outperforming conventional hybrid precoding baselines in simulations.