Zebra Technologies Corporation

Jonathan Chen

Ohad Shatil

Venkateswaran Narayanan

Sethuraman Vijayakumar

Dayal Madhukar Rai

Ambika Nagarajaiah

Anandakumar Gopalsamy

Alexander Punnamoottil Jacob

A method in a computing device includes: monitoring, via a communications interface of the computing device, wireless data elements including application data corresponding to a communications application, and non-application data; automatically generating labels based on the application data of the wireless data elements, the labels indicating performance impacts observable in the communications application; selecting a portion of the wireless data elements corresponding to the non-application data; extracting, from each wireless data element of the non-application data, a set of feature values; generating a plurality of samples from the non-application data, each sample including (i) a number of the sets of feature values based on a sample size, and (ii) one of the automatically generated labels; training a classifier based on the plurality of samples, the classifier configured to receive further non-application data and generate a predicted impact indicator selected from the labels; and deploying the classifier.

Application-independent detection of wireless environment impacts

A computing device includes: a wireless communication interface; and a processor configured to: establish a connection with a wireless network; while a network-layer status of the connection is active, monitor attributes of the connection at the wireless communication interface, the attributes including (i) a number of uplink packets transmitted since a most recent downlink packet was received, and (ii) a time period elapsed since the most recent downlink packet was received; determine that the attributes meet recovery criteria indicative of a network-layer interruption in the wireless network; in response to the determination, control the wireless communication interface to initiate a recovery action to resolve the network-layer interruption.

Detection and recovery mechanisms for network interruptions

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Medford, NY, United States of America

Jonathan Chen