A prompt-based, meta-learning-enabled autoencoder compresses IRS phase-shift information adaptively across compression ratios, SNRs, and LoS/NLoS conditions, beating a single-configuration baseline in a small simulation.
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Phase Shift Information Compression in IRS-aided Wireless Systems: Challenges and Opportunities
A prompt-based, meta-learning-enabled autoencoder compresses IRS phase-shift information adaptively across compression ratios, SNRs, and LoS/NLoS conditions, beating a single-configuration baseline in a small simulation.