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Experimental Validation of Deep Unfolding for Parameter Optimization in MIMO Adaptive Equalization | AMiner

Experimental Validation of Deep Unfolding for Parameter Optimization in MIMO Adaptive Equalization

Koji Igarashi,Takumi Takahashi

2026 Optical Fiber Communications Conference and Exhibition (OFC)（2026）

Graduate School of Engineering Science

被引用0|浏览0

摘要

We experimentally demonstrate a deep unfolding approach for parameter optimization in MIMO adaptive equalization with separated carrier phase estimation and frequency offset compensation, achieving a significant reduction in optimization cost while attaining optimal equalization performance.

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关键词

Optimal Parameters,Deep Approach,Tuning Parameter,Adaptive Control,Single Dataset,Optimal Efficiency,Blue Circles,Incremental Learning,Digital Signal Processing,Phase Noise,Closed Circles,Arbitrary Waveform Generator,Learning Dataset,Quadrature Amplitude Modulation,Phase Fluctuations,Spectral Linewidth,Step Size Parameter,Laser Linewidth

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