US 11,792,662 B2
Identification and prioritization of optimum capacity solutions in a telecommunications network
Khrum Kashan Jat, Sammamish, WA (US); Jatinder Singh Sandhu, Bellevue, WA (US); Spoorthy Kondapally, Issaquah, WA (US); and Jessica Sacks, Sammamish, WA (US)
Assigned to T-Mobile USA, Inc., Bellevue, WA (US)
Filed by T-Mobile USA, Inc., Bellevue, WA (US)
Filed on Apr. 22, 2022, as Appl. No. 17/727,645.
Application 17/727,645 is a division of application No. 16/855,991, filed on Apr. 22, 2020, granted, now 11,343,683.
Prior Publication US 2022/0256364 A1, Aug. 11, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04W 24/02 (2009.01); H04W 16/18 (2009.01); H04W 24/08 (2009.01)
CPC H04W 24/02 (2013.01) [H04W 16/18 (2013.01); H04W 24/08 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An apparatus to identify network improvement solutions deployable at one or more locations in a wireless telecommunications network, the apparatus comprising:
at least one data processor; and
at least one memory, communicatively coupled to the at least one data processor, and storing instructions executable by the at least one data processor, wherein the instructions comprise:
using historical data to train a machine learning model,
wherein the historical data includes capacity gain solutions, and associated gains achieved based on the solutions, and
wherein the capacity gain solutions were previously implemented at various geographic locations associated with the wireless telecommunications network;
upon receiving a new geographic location, generating, with the trained machine learning model, recommended solutions deployable at the new location to improve performance of the wireless telecommunications network at the new location,
wherein the machine learning model uses clustering techniques to perform the recommendations.