Method and apparatus for enhancing precision time protocol timestamp precision using machine learning circuit with aid of feature-and-model pre-selection and parameter pre-tuning

Abstract

A method and apparatus for enhancing precision time protocol (PTP) timestamp precision using machine learning (ML) circuit with aid of feature-and-model pre-selection (FMPS) and parameter pre-tuning (PPT) are provided. The apparatus includes a communication circuit, for performing communication operations for an electronic device, and the ML circuit, for performing time calculation for the communication circuit. The communication circuit includes a PTP timestamp generation circuit, for generating at least one timestamp in at least one packet; and the ML circuit includes a pre-selected model running on the ML circuit, the pre-selected model arranged to obtain a set of pre-selected features from the communication circuit, and convert the set of preselected features into at least one time calculation result according to a set of pre-tuned parameters, to allow the PTP timestamp generation circuit to generate the at least one timestamp according to the at least one time calculation result.

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