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PAM-4 Eye-Opening Monitor Technique Using Gaussian Mixture Model for Adaptive Equalization

Yosuke IIJIMA, Keigo TAYA, Yasushi YUMINAKA

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Summary :

To meet the increasing demand for high-speed communication in VLSI (very large-scale integration) systems, next-generation high-speed data transmission standards (e.g., IEEE 802.3bs and PCIe 6.0) will adopt four-level pulse amplitude modulation (PAM-4) for data coding. Although PAM-4 is spectrally efficient to mitigate inter-symbol interference caused by bandwidth-limited wired channels, it is more sensitive than conventional non-return-to-zero line coding. To evaluate the received signal quality when using adaptive coefficient settings for a PAM-4 equalizer during data transmission, we propose an eye-opening monitor technique based on machine learning. The proposed technique uses a Gaussian mixture model to classify the received PAM-4 symbols. Simulation and experimental results demonstrate the feasibility of adaptive equalization for PAM-4 coding.

Publication
IEICE TRANSACTIONS on Information Vol.E104-D No.8 pp.1138-1145
Publication Date
2021/08/01
Publicized
2021/04/21
Online ISSN
1745-1361
DOI
10.1587/transinf.2020LOP0007
Type of Manuscript
Special Section PAPER (Special Section on Multiple-Valued Logic and VLSI Computing)
Category
Circuit Technologies

Authors

Yosuke IIJIMA
  Oyama College
Keigo TAYA
  Gunma University
Yasushi YUMINAKA
  Gunma University

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