Kumar Vadlamudi from Cumming, GA

Site Estimation Based On Crowd Sourced Data
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US Patent:

20210352609, Nov 11, 2021
Filed:

May 6, 2020
Appl. No.:

16/867868
Inventors:

- Atlanta GA, US
Mario Kosseifi - Roswell GA, US
Xiaodi Zhang - San Ramon CA, US
Kumar Vadlamudi - Frisco TX, US
Badal Chowdhary - Union NJ, US
International Classification:

H04W 64/00
H04W 4/029
H04W 4/02
H04W 48/20
G06N 20/00
Abstract:

Crowd sourced data from mobile devices may be used to estimate site locations. In addition, machine learning models may be used to filter out any inaccurate crowd sourced data before using algorithms to estimate the cell site location. An apparatus may include a processor and a memory coupled with the processor that effectuates operations. The operations may include receiving data associated with a location of plurality of devices that have connected with a base station in a geographic area; determining a machine learning model to apply to the received data based on the type of data, wherein the machine learning model is a clustering model; performing the clustering model on the received data; based on the performing the clustering model on the received data, obtaining representative data that excludes outliers in the received data; based on the representative data, determining a location of the base station in the geographic area; and sending a message with the location of the base station.