RAN Interference Detection via RIC Segmentation
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Solution Overview
Problem
Current uplink interference detection systems in telecommunications networks suffer from high false alarm rates for external interference, leading to inaccurate interference localization and increased operational costs for field teams. Additionally, there is a need to detect passive intermodulation interference (PIM) caused by nonlinear device interactions, which affects signal quality and network performance.
Innovation Solution
A method is introduced for an interference detection RAN application deployed across RAN intelligent controllers (RICs) to detect and identify external interference and PIM in a radio access network. This method involves analyzing patterns of spectrum interference, comparing them with signature patterns for internal and external interference, and generating alerts for operators when external interference is detected. For PIM detection, the method involves monitoring high uplink noise and antenna imbalance, and determining the impact on key performance indicators (KPIs).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional interference detection methods are used, then interference detection coverage is provided, but false alarm rate for external interference is high
Solution Approach 1:
The interference detection method is segmented into multiple filtering operations: first filtering operation detects signal inconsistency between antenna branches, second filtering operation detects load-based interference. This segmentation allows the system to differentiate between various interference types systematically, reducing false alarms while maintaining detection coverage.
Solution Approach 2:
The system changes detection parameters by analyzing different characteristics of interference signals: signal inconsistency parameters between antenna branches, load correlation parameters, and spectrum interference patterns. By monitoring multiple parameters, the system achieves more accurate interference identification and reduces false alarm rates.
2Object-affected harmful factors
If jammer identification and removal operations are performed, then interference is mitigated, but operational cost for field teams increases
Solution Approach 1:
The system performs self-diagnosis by automatically detecting and classifying interference types through multiple filtering operations. The RAN application autonomously identifies external interference versus internal interference without requiring field team intervention for every alert, reducing operational costs while maintaining effective interference mitigation.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring interference patterns and comparing them against known signatures. This feedback loop enables automatic verification of interference types, allowing the system to confidently dispatch field teams only when necessary, thereby reducing unnecessary operational costs while ensuring proper interference mitigation.
3Measurement precision
If PIM interference is detected, then signal quality issues are identified, but detection complexity increases
Solution Approach 1:
The system performs preliminary filtering operations to eliminate obvious non-PIM interference cases before conducting detailed PIM analysis. By first checking for signal inconsistency between antenna branches and load-based interference patterns, the system reduces the number of cases requiring complex PIM detection algorithms, thereby managing detection complexity while maintaining signal quality detection capability.
Data Source
AI summary
Some embodiments of the invention provide a method for a PIM (passive intermodulation interference) detection RAN (radio access network) application deployed across one or more RICs (RAN intelligent controllers) for detecting PIM in a RAN including multiple RAN base stations for servicing multiple users located across multiple regions, each region including at least one RAN base station. The method is performed for a particular region serviced by a particular RAN base station. The method detects (1) high uplink noise for the particular region and (2) antenna imbalance for the particular region. Based on said detection, the method determines whether high KPI (key performance indicator) impact is detected for the particular region. When high KPI impact is detected for the particular region, the method generates a PIM alert to notify an operator of the particular RAN base station that services the particular region that PIM is detected for the particular region.