A Transformer-based CP-Net predicts aged CSI and a MoE-Net with weighted gating optimizes power allocation in aerial-terrestrial CF-mMIMO systems to meet URLLC requirements.
Deep Learning for Radio Resource Allocation With Diverse Quality-of-Service Requirements in 5G
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Deep Mixture of Experts Network for Resource Optimization in Aerial-Terrestrial CF-mMIMO Systems under URLLC
A Transformer-based CP-Net predicts aged CSI and a MoE-Net with weighted gating optimizes power allocation in aerial-terrestrial CF-mMIMO systems to meet URLLC requirements.