Caci, Inc. - Federal

David S Reynolds

The present disclosure pertains to a base station apparatus configured, via machine learning techniques, to provide enhanced communication for one or more user equipment (UEs). This communication may be exemplarily enhanced by detecting rogue base stations and/or by predicting more optimal performance parameters. Some embodiments of this apparatus may include: creating a machine learning classifier using simulated wireless data, the simulated wireless data having known values; and applying, at a base station router (BSR), the machine learning classifier to actual wireless data. This application may be performed by converting between a wireless protocol used by the actual wireless data and a wired protocol used by the simulated wireless data.

Systems and methods for performing simulations at a base station router

The present disclosure pertains to a base station (BS) apparatus configured to provide communication for one or more user equipment (UEs). Some embodiments of this apparatus may include: a BS networking device configured to access actual wireless data pertaining to actual UEs and to access simulated wireless data pertaining to simulated UEs; an interface controller communicably interposed between the BS networking device and the UEs, the interface controller being configured to control the access to the actual wireless data and the simulated wireless data; and a bridging device configured to convert between a wireless protocol used by the UEs and a wired protocol used by the BS networking device.

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Castle Rock, CO, United States of America

David S Reynolds