Base Station Sector Interference Detection System
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Solution Overview
Problem
Current methods for locating external interference sources affecting base stations are time-consuming and inefficient, wasting resources and degrading network performance.
Innovation Solution
A detection system that filters and analyzes interference data to differentiate external interference from internal issues, identifying the most impacted sector and enabling targeted mitigation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If technicians manually locate interference sources by driving around with RF sensors, then interference can be detected, but the process is time-consuming and wastes resources
Solution Approach 1:
The base station automatically performs interference detection and sector identification using its own collected interference data, eliminating the need for external technicians to manually locate interference sources. The system self-diagnoses by analyzing interference patterns across different sectors and identifying the most impacted sector without human intervention.
Solution Approach 2:
The patent replaces the mechanical approach of technicians physically driving around with RF sensors with an automated electronic system that uses signal processing and data analysis to identify interference sources. The mechanical movement and manual measurement are substituted with algorithmic analysis of interference data collected by the base station.
2Measurement precision
If technicians manually locate interference sources, then interference can be identified, but computing resources, networking resources, and transportation resources are wasted
Solution Approach 1:
The base station autonomously performs interference analysis using its own resources, eliminating the need for external computing and transportation resources. The system processes interference data locally and identifies affected sectors without requiring technician deployment or external analytical tools.
Solution Approach 2:
The patent extracts only the essential interference analysis function from the manual technician process, isolating the core capability of identifying interference patterns and affected sectors. This extracted function is implemented as an automated system that operates independently without requiring the full resource expenditure of manual field investigations.
3Measurement precision
If manual interference detection is performed, then interference sources can be located, but base station performance degradation continues during the detection process
Solution Approach 1:
The base station continuously collects and analyzes interference data in real-time, performing preliminary identification of interference patterns and affected sectors before significant performance degradation occurs. The system proactively monitors interference levels and can alert operators to potential issues before they severely impact service quality.
Solution Approach 2:
The patent implements a feedback mechanism where the base station continuously monitors interference data, analyzes patterns, and uses this information to identify the most impacted sector. This ongoing feedback loop allows the system to adapt to changing interference conditions and maintain awareness of performance issues in real-time.
Data Source
AI summary
A device may receive interference data identifying interference associated with sectors provided by base stations, and may filter interference data associated with sectors with passive intermodulation issues and sectors with alarms related to sectors' radio, from the interference data, to generate interference data for a set of sectors. The device may perform an interference analysis on the sectors' physical resource blocks (PRBs) and receiving branches, of the interference data, to generate analysis results, and may determine interference associated with co-located sectors of the set of sectors. The device may identify neighbor sectors based on the interference, and may compare PRBs of the set of sectors with PRBs of the neighbor sectors to generate comparison results. The device may identify a particular sector that is the most impacted sector when compared to its neighboring and co-located sectors, associated with an interference source, based on the comparison results.