Identification and prioritization of optimum capacity solutions in a telecommunications network

Systems and methods that use historical data comprising capacity gain solutions and their associated gains at various locations to train a machine learning model. The trained machine learning model, upon receiving a new location (e.g., latitude and longitude coordinates), recommends the top n (e.g.,...

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Hauptverfasser:	Jat, Khrum Kashan, Kondapally, Spoorthy, Sandhu, Jatinder Singh, Sacks, Jessica
Format:	Patent
Sprache:	eng
Schlagworte:	ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS
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creator	Jat, Khrum Kashan Kondapally, Spoorthy Sandhu, Jatinder Singh Sacks, Jessica
description	Systems and methods that use historical data comprising capacity gain solutions and their associated gains at various locations to train a machine learning model. The trained machine learning model, upon receiving a new location (e.g., latitude and longitude coordinates), recommends the top n (e.g., the top 3) solutions that should be deployed at the new location to improve telecommunications network performance. The machine learning model uses clustering techniques to perform the recommendations.
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subjects	ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS
title	Identification and prioritization of optimum capacity solutions in a telecommunications network
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