Link-quality estimation and anomaly detection in high-speed wireline receivers
AssigneeMarvell Asia Pte Ltd
InventorsVenugopal Balasubramonian, Lenin Kumar Patra
Life of this patent
Estimating the term…
Abstract
An Integrated Circuit (IC) for use in a network device includes a receiver and a Link Quality Estimation Circuit (LQEC). The receiver is configured to receive a signal over a link and to process the received signal. The LQEC is configured to predict a link quality measure indicative of communication quality over the link in the future, by analyzing at least one or more settings of circuitry of the receiver, and to initiate a responsive action depending on the predicted link quality measure.
Claims13
An integrated circuit for use in a network device, the integrated circuit comprising:
- a receiver having one or more settings, wherein the receiver is configured to receive, based on the one or more settings, data traffic over a first link;
- and
- a link quality estimation circuit configured to:
- run a learning model pre-trained machine configured to (i) analyze the one or more settings of the receiver, and (ii) predict whether a link quality of the first link is trending towards falling below a minimum requirement for the link quality;
- and
- responsive to the pre-trained machine learning model predicting that the link quality of the first link is trending towards falling below the minimum requirement, initiate a remedial measure to prevent data loss, wherein the remedial measure to prevent data loss includes diverting the data traffic from the first link to a second link.
A method for use in a network device, the method comprising:
- using a receiver having one or more settings, receiving data traffic over a first link based on the one or more settings;
- running a pre-trained machine learning model that (i) analyzes the one or more settings of the receiver, and (ii) predicts whether a link quality of the first link is trending towards falling below a minimum requirement for the link quality;
- and
- responsive to the pre-trained machine learning model predicting that the link quality of the first link is trending towards falling below the minimum requirement, initiating a remedial measure to prevent data loss, wherein the remedial measure to prevent data loss includes diverting the data traffic from the first link to a second link.
Dependencies are inferred from the claim text.