AI & ML
Skew-Induced Insertion Loss Deviation (SILD) and FOM_SILD: Metrics for Quantifying P/N Skew Effects in High-Speed Channels
arXiv eess.SY0 views
arXiv:2506.15105v4 Announce Type: replace Abstract: The rise of AI workloads and growing data center demands have driven the need for ultra-high-speed interconnects exceeding 200 Gb/s. As unit intervals (UI) shrink, even a few picoseconds of P/N skew can degrade serializer-deserializer (SerDes) performance. Traditional methods for quantifying skew fall short in capturing its impact. We introduce two new metrics: 1) Skew-Induced Insertion Loss Deviation (SILD) and 2) its complementary Figure of Merit (FOM_SILD), analytically developed to assess P/N skew effects. Measured S-parameters confirm FOM_SILD reciprocity, while simulations of 224G PAM4 SerDes show strong correlation with bit error rate (BER) trends. This approach offers a robust framework for analyzing skew in next-generation ultra-high-speed interconnects.
Source：https://arxiv.org/abs/2506.15105PreviousOpinion Dynamics in Social Multiplex Networks with Mono and Bi-directional Interactions in the Presence of LeadersNextCalibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets
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