Patent Document ID: 20170290024
Application ID: 15087129
Patent Flag: 0

Claim One:
1. A method comprising: collecting, by a processor, usage data related to a plurality of cells of a service network; grouping, by the processor, the cells into clusters; selecting, by the processor, regression algorithms for the clusters, wherein the regression algorithms are selected from a group of regression algorithms, and wherein selecting the regression algorithms includes: identifying prediction errors for the group of regression algorithms for each of the clusters, and determining, as the regression algorithms, ones of the group of regression algorithms associated with the smallest prediction errors for each of the clusters; identifying, by the processor, a key performance indicator (KPI) related to a communication resource for one of the cells; identifying, by the processor, one of the clusters that includes the cell, wherein the one of the clusters is associated with one of the regression algorithms; calculating, by the processor, a value for the KPI based on the usage data and the one of the regression algorithms; and allocating, by the processor, the communication resource to the cell based on the calculated value for the KPI.