Sökning: "anomaly detection data science machine learning LTE radio"
Hittade 1 uppsats innehållade orden anomaly detection data science machine learning LTE radio.
1. Anomaly Detection and Root Cause Analysis for LTE Radio Base Stations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This project aims to detect possible anomalies in the resource consumption of radio base stations within the 4G LTE Radio architecture. This has been done by analyzing the statistical data that each node generates every 15 minutes, in the form of "performance maintenance counters". LÄS MER
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