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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Bibliographische Detailangaben
Hauptverfasser: Jat, Khrum Kashan, Kondapally, Spoorthy, Sandhu, Jatinder Singh, Sacks, Jessica
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung: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.