Signal integrity diagnosis and physical-based circuit modeling for 5G/6G connectors in high-speed electrical links
He, Yulin
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Permalink
https://hdl.handle.net/2142/130038
Description
Title
Signal integrity diagnosis and physical-based circuit modeling for 5G/6G connectors in high-speed electrical links
Author(s)
He, Yulin
Issue Date
2025-07-17
Director of Research (if dissertation) or Advisor (if thesis)
Feng, Milton
Doctoral Committee Chair(s)
Feng, Milton
Committee Member(s)
Jin, Jianming
Dallesasse, John
Schutt-Aine, Jose E
Zhao, Yang
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
signal integrity
transmission line
5G
ethernet
interconnect
high-speed
mixed mode
multimode
resonance
failure analysis
full wave simulation
equivalent circuit
modeling
Abstract
High-speed 5G/6G connectors have become a critical bottleneck in next-generation digital systems due to escalating data rates and stringent signal integrity (SI) requirements. This dissertation addresses these challenges by introducing a physics-based signal integrity diagnosis and modeling framework for multi-gigabit connectors. The approach combines field-based resonance analysis with a novel distributed physical-based transmission-line (dPBTL) circuit model, including an extended mixed-mode dPBTL (mm-dPBTL) formulation, to efficiently capture and interpret complex connector behaviors. Key contributions include explicit modeling of differential/common-mode signal paths loaded with ground-cavity and signal stub resonant structures, which are often responsible for narrowband SI degradations, and a mixed-mode analysis methodology to evaluate inter-mode and inter-pair interactions with resonant features. The proposed equivalent-circuit models faithfully reproduce full-wave connector responses over broad frequencies while maintaining physical transparency into resonant mechanisms. Applied to state-of-the-art connectors (e.g., PCIe 5.0 and OSFP), the framework demonstrates excellent agreement with 3D electromagnetic simulations and measurement data, enabling accurate prediction of S-parameters, NRZ/PAM-4 eye diagrams, and industry compliance metrics without resorting to time-intensive full-wave solves. The results show that this fast, interpretable SI tool can guide design pathfinding by pinpointing root causes of reflection, loss, crosstalk, mode conversion, and resonance issues and evaluating mitigation strategies. Ultimately, the developed modeling approach accelerates the design cycle for 5G/6G interconnects and provides engineers with deeper insight into achieving reliable high-speed link performance.
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