Interference Matrix for RAN PCI Clash Identification
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Solution Overview
Problem
Current RAN planning tools rely on theoretical RF propagation models, which are not based on real-time data, making it difficult to identify and address interference issues in 5G networks effectively, especially with increased complexity due to network slicing and automation requirements.
Innovation Solution
The development of an interference matrix based on live call trace data and user equipment measurement reports, using probes to collect data and identify interference issues such as Accessibility Failures, Packet Loss, PCI clashes, and neighbor-related problems, allowing for real-time diagnosis and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If theoretical RF propagation models are used for RAN planning, then network design can be performed without real-time data, but interference issues cannot be accurately identified in live networks
Solution Approach 1:
The system pre-processes and stores interference matrices from live network data in advance, so that when interference identification is needed, the pre-computed matrices can be quickly queried and analyzed without waiting for real-time data collection, thus resolving the contradiction between needing real-time data and achieving accurate interference identification
Solution Approach 2:
The patent introduces an interference matrix as an intermediary data structure that captures real-time network interference characteristics. This matrix serves as a mediator between raw live network data and the interference identification algorithm, enabling accurate interference detection without requiring direct access to continuous real-time data streams
2Reliability
If live call trace data and device metrics are collected and processed to form an interference matrix, then real-time interference identification is achieved, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct modules: data collection from multiple sources, data parsing and validation, interference matrix construction, and interference identification. Each module handles a specific aspect of the processing pipeline, reducing overall system complexity while maintaining reliable interference identification through coordinated operation of these segmented components
3Adaptability or versatility
If vendor-specific and device-specific data formats are processed to create a unified interference matrix, then vendor and device agnosticism is achieved, but data parsing and correlation difficulty increases
Solution Approach 1:
The patent implements a universal data parsing framework that can handle multiple vendor-specific and device-specific formats through a common interface. The interference matrix structure itself is designed to be vendor and device agnostic, accepting data from diverse sources and normalizing them into a unified representation, thus achieving versatility while managing parsing complexity through standardized processing routines
Data Source
AI summary
An interference matrix for LTE and NR based on user equipment measurement data reports for PCI clash and neighbor addition and deletion algorithms. In an embodiment, a method for identifying interferences in a telecommunications network having at least one serving cell and at least one reported cell includes retrieving data sources including one or more of (a) call trace data from the telecommunications network and (b) device metrics from multiple user equipment (UEs) connected to a telecommunications network; processing the data sources to form an interference matrix with structured data that is vendor and device agnostic by (a) parsing and correlating the call trace data to provide the structured data and (b) processing the device metrics from multiple UEs and geo-binning them based on location; analyzing the structured data in the interference matrix to determine interferences between cells; and displaying information about the determined interferences.