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Detecting PCI and RSI Issues in LTE Networks by Nam Song Hau CTO is a document available to read on EtoBox.

What is Detecting PCI and RSI Issues in LTE Networks about?

This document discusses using machine learning techniques to detect two issues in LTE networks: Physical Cell Identity (PCI) conflicts and Root Sequence Index (RSI) collisions. Key Performance Indicators (KPIs) from a real LTE network are used as features for supervised learning models to detect these issues with near real-time performance. The highest average precision for PCI conflict detection was 31% for 800MHz and 26% for 1800MHz bands. For RSI collision detection, the highest average precision was 61%

Author

Nam Song Hau CTO

Language

EN