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.
Breaking the interference and fading gridlock in backscatter communications: State- of-the-art, design challenges, and future directions,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.