Unified Database for Telecommunications Network Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network operators face difficulties in associating and managing network performance metrics due to the lack of communication between multiple databases, making it challenging to adapt network characteristics in response to changes in entities like RRC success rate and throughput.
Innovation Solution
A method and network node that utilize a single counter to simultaneously measure and correlate multiple performance entities within predefined ranges, allowing for the adaptation of network characteristics based on the determined relationships between these entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate databases are used to store different performance entities, then each entity can be measured and stored independently, but the number of databases increases and communication between them is limited, making it difficult to associate and analyze relationships between entities
Solution Approach 1:
The patent merges multiple separate databases into a single unified database that stores all performance entities (throughput, RRC success rate, dropped calls, etc.) in one location. This unified database enables comprehensive correlation analysis between different entities while reducing system complexity and eliminating communication barriers between separate databases.
Solution Approach 2:
The unified database serves multiple functions: storing various performance entities, enabling correlation analysis between entities, supporting network optimization decisions, and providing a centralized data repository. This multi-functional approach replaces the need for multiple specialized databases.
2Loss of information
If multiple separate databases are used to store performance entities, then each entity can be tracked individually, but it becomes difficult to associate changes in one entity with changes in another entity
Solution Approach 1:
By consolidating all performance entity data into a single unified database, the patent enables direct association and correlation analysis between entities. The unified structure allows the system to track relationships between entities (e.g., associating RRC success rate changes with throughput changes) that would be difficult to establish across separate databases.
3Device complexity
If a single counter measures multiple entities simultaneously, then the number of databases decreases and correlation between entities can be determined, but the complexity of managing and analyzing multiple entities within a single counter increases
Solution Approach 1:
The patent segments the data storage and analysis process within the unified database by organizing entities into predefined ranges and categories. This segmentation approach manages complexity by structuring multiple entities in an organized manner while maintaining their relationships in the unified database.
Solution Approach 2:
The system implements feedback mechanisms where correlation results from the unified database are used to adapt network characteristics. This feedback loop simplifies operation by automatically using the correlated data to make network optimization decisions, reducing the manual burden of analyzing multiple entities.
4Measurement precision
If multiple separate databases are used, then each performance entity can be measured independently, but network adaptation and optimization become difficult due to lack of communication between databases
Solution Approach 1:
The unified database merges all performance entity measurements into a single accessible repository, enabling the network to adapt and optimize based on correlated relationships between entities. This consolidation provides the versatility needed for comprehensive network optimization while maintaining accurate independent measurement of each entity.
Solution Approach 2:
The system uses feedback from the unified database correlations to automatically adapt network characteristics. The correlated data from the unified database feeds into network optimization processes, enabling the network to respond to performance changes based on relationships between multiple entities measured simultaneously.
Data Source
AI summary
Methods in a network node, such as a radio base station (RBS) node or a radio network control (RNC) node, for adapting network characteristics in a telecommunications system are provided. A plurality of entities indicative of the performance of the network are measured simultaneously, by means of a single table, and one entity is selected as main entity. The measurements are stored within main entity ranges and a correlation of the measurements is performed to determine a relationship among the entities with main entity range(s). The result(s) of the correlation is used to adapt network characteristics for optimizing the network. Related network nodes are also discussed.