Network Access Node Radio Service Information Estimation
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Solution Overview
Problem
Conventional Self-Organizing Networks (SON) in 4G wireless communication systems face challenges in efficiently managing neighbor relations and initial radio configuration of network access nodes, leading to suboptimal radio service information estimation and coverage mapping.
Innovation Solution
A network access node is configured to obtain and combine different radio service information estimates from itself and neighboring nodes, using weighted aggregation methods to improve estimation accuracy and create a coverage service map, while also limiting storage and memory usage by filtering based on service thresholds and estimate types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional SON methods are used for neighbor relations management and initial radio configuration, then basic network operation is achieved, but radio service information estimation accuracy is suboptimal
Solution Approach 1:
The patent combines radio service information from multiple sources (own measurements, neighbor node measurements, path-loss estimates, interpolation estimates) into a unified coverage service map. This merging of multiple estimation sources improves accuracy while the automated weighted aggregation process manages complexity through systematic integration rather than manual configuration.
Solution Approach 2:
The patent introduces an intermediary coverage service map that mediates between raw measurement data and final network decisions. This intermediate representation layer allows complex multi-source data to be processed systematically, improving estimation accuracy while providing a structured approach that manages overall system complexity.
2Measurement precision
If comprehensive radio service information is collected from all network access nodes, then coverage mapping accuracy is improved, but storage and memory requirements increase
Solution Approach 1:
The patent changes the parameter representation by using weighted aggregation to combine estimates rather than storing all raw measurement data. The coverage service map stores processed results with associated weights and confidence levels, reducing storage requirements while maintaining comprehensive coverage information through compact parameter representation.
Solution Approach 2:
The patent implements filtering based on service thresholds and estimate types, collecting only the necessary portion of radio service information required for accurate coverage mapping. This partial action approach gathers sufficient data from neighbor nodes without collecting excessive redundant information, optimizing the balance between accuracy and storage requirements.
3Measurement precision
If multiple estimation methods are used for radio service information, then estimation accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent uses parameter changes by implementing weighted aggregation that systematically combines multiple estimation methods (path-loss estimates, interpolation estimates, actual measurements). The weights and confidence levels are processed through defined algorithms, transforming complex multi-method processing into structured parameter operations that improve accuracy while managing complexity through mathematical aggregation.
Data Source
AI summary
A first network access node for a wireless communication system obtains a set of first radio service information (RSI) for a set of first position information in a service area. Each first RSI of the set of first RSI comprises a first RSI estimate, a first estimate type indicating how the first RSI estimate was estimated, and a first radio service type defining the first RSI estimate. The first network access node further receives a first control message from a second network access node. Corresponding methods and computer program products are also described.