Patent ID: 11900282
Assignee: HCL TECHNOLOGIES LIMITED
Field: Digital communication (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A method for building a Time Series based prediction/forecast model for a telecommunication network, the method comprising:
receiving, by a processor, historical data, for a predefined period, associated with a telecommunication network, wherein the historical data comprises Performance Management (PM) counters and Key Performance Indicators (KPIs) corresponding to a call-success, a throughput, a processor occupancy, and a time associated with the PM counters and the KPIs;
pre-processing, by the processor, the historical data using statistical and machine learning techniques, wherein the pre-processing of the historical data consists of backfilling missing or anomalous values in the historical data, and evaluating statistical characteristics corresponding to stationarity of the historical data, wherein the pre-processing rectifies unexplained behavior of the historical data that occurred in network level activities, wherein the unexplained behavior of the historical data comprises a step change or anomalies in the KPIs;
stationarizing, by the processor, the historical data by iteratively using techniques of differencing, moving average, and auto-correlation to generate stationarized data;
assessing, by the processor, the KPIs with insight into causation of KPI degradation and tracing the KPIs to a root cause using a Time Series based prediction/forecast model associated with the telecommunication network, wherein the Time Series based prediction/forecast model _is built, based on the stationarized data by iteratively determining ‘p’, ‘d’ and ‘q’ parameters using Partial Correlation Function (PACF), differencing, and Auto Correlation Function (ACF) methods, wherein a value of p, a value of d, and a value of q are selected to most accurately model wireless KPIs that exhibit seasonality
dynamically determining the PM counters and the KPIs for real-time data for a predefined interval using the Time Series based prediction/forecast model;
instantaneously locating and fixing issues related to one or more nodes in the telecommunication network when actual values associated with the PM counters and the KPIs outshoot forecasted values by a predefined threshold value; and
dynamically planning network level activities associated with the telecommunication network in real-time based on the KPIs for the real-time data.