Cisco Technology, Inc.

Subhash Kodnad

Anand K Oswal

Vivek Agarwal

Balaji Sundararajan

Jeevan Sharma

Chethan Channappa

Amitesh Shukla

Rakesh Mishra

Manish Jhanji

Satish Kumar Mandavilly

The present disclosure is directed to managing industrial internet of things end points and includes one or more processors and one or more computer-readable non-transitory storage media coupled to the one or more processors and comprising instructions that, when executed by the one or more processors, cause one or more switches to perform operations comprising: identifying a first end point using a protocol associated with the first end point, determining a classification for the identified first end point based on one or more attributes of the first end point, identifying one or more related end points having the classification in common with the first end point, segmenting the first end point with the identified one or more related end points, and applying one or more policies to the segmented first end point and the one or more related end points.

Automating a software-defined wide area network policy for internet of things end points

An antenna may be provided. First, a Machine Learning (ML) model may be used, at a predetermined time, to predict a probable location of at least one of a plurality of client devices. Next, spatial coordinates may be obtained for the probable location from the ML model. Then an antenna sub-array of an antenna array may be steered toward the spatial coordinates of the probable location. The antenna sub-array may be unallocated.

Antenna for massive multiple input and multiple output (mMIMO)

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Dublin, CA, United States of America

Subhash Kodnad