MCRNet combines MAML few-shot adaptation with a depthwise convolutional gating decoder to compress IRS phase shifts at lower decoder cost and comparable NMSE in simulation.
A reassessment on applying protocol interference model under Rayleigh fading: From perspective of link scheduling,
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Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems
MCRNet combines MAML few-shot adaptation with a depthwise convolutional gating decoder to compress IRS phase shifts at lower decoder cost and comparable NMSE in simulation.