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.
How many reflecting elements are needed for energy and spectral-efficient intelligent reflecting surface-assisted communication,
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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.