ELECTRONIC DEVICE AND METHOD FOR GENERATING REPRESENTATIVE DATA FOR BASE STATION MODEL TRAINING

Abstract

An electronic device may comprise: a memory that stores instructions; a transceiver configured to receive base station data; and at least one processor that executes the instructions stored in the memory. The at least one processor may, when the instructions are executed: divide the base station data into a plurality of base station data parts according to a first time unit; generate first data of the first time unit by overlapping the plurality of divided base station data parts; divide the overlapped first data into a plurality of second time interval base station data according to a second time interval unit; calculate probability density functions for each second time interval with respect to base station data of each of the plurality of divided second time intervals; generate at least one first representative data by using the probability density functions for each second time interval; and training a base station model on the basis of the at least one first representative data.

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