LTE/5G Network Parameter Grouping for Misconfiguration Reduction
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Solution Overview
Problem
Cellular network configuration parameters are difficult to optimize due to their large number, complex dependencies, and the need to support diverse applications and environments, leading to misconfigurations that negatively impact quality of service.
Innovation Solution
A method for tuning local network configuration parameters using conformity-based recommendations, where similar network locations are grouped into reference groups, and the most prevalent settings are applied, with performance-based filtering to ensure optimal settings are not overridden by minority configurations that have shown performance improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network engineers manually tune configuration parameters for each geographic location, then network performance can be optimized for specific locations, but the complexity and time required for configuration increases significantly
Solution Approach 1:
The patent segments the network into reference groups based on geographic locations with similar characteristics. By dividing the network into these segments, engineers can tune configuration parameters once per reference group rather than individually for each location, reducing configuration complexity while maintaining optimized performance across similar locations.
Solution Approach 2:
The patent creates universal configuration templates for reference groups that can be applied across multiple geographic locations. A single configuration setting serves multiple locations with similar characteristics, reducing the overall number of configurations needed while maintaining location-specific optimization through the reference group approach.
2Reliability
If configuration parameters are tuned differently across geographic locations, then quality of service can be improved for diverse environments, but the difficulty of detecting and measuring optimal settings increases
Solution Approach 1:
By segmenting locations into reference groups with similar characteristics, the patent reduces the number of unique configurations that need to be monitored and evaluated. This segmentation makes it easier to detect and measure optimal settings compared to managing entirely individual configurations for each location.
Solution Approach 2:
The patent uses copying by applying configuration settings from one location to similar locations within the same reference group. This copying approach reduces the measurement burden because settings are validated once per reference group and then replicated, rather than requiring independent measurement and optimization for each individual location.
3Stability of the object's composition
If the most prevalent configuration values are applied across all nodes in a reference group, then configuration consistency is improved, but the ability to maintain optimal settings for minority cases may be lost
Solution Approach 1:
The patent applies local quality by allowing each reference group to have its own configuration characteristics based on the prevalent values within that group. This enables different configuration settings for different reference groups (local adaptation) while maintaining consistency within each group. The system adapts to diverse conditions by creating separate reference groups for different geographic and environmental characteristics.
Data Source
AI summary
A method performed by a processing system including at least one processor includes grouping a plurality of nodes of a telecommunications network into a plurality of reference groups, based on a plurality of configuration attributes and on a plurality of load, mobility, radio frequency attributes for the plurality of nodes, selecting a first reference group of the plurality of reference groups, where the first reference group includes a subset of the plurality of nodes, selecting a first configuration parameter of the first reference group to be tuned, identifying a first value for the first configuration parameter that is most prevalent among the subset of the plurality of nodes, and setting the first configuration parameter for all nodes in the subset of the plurality of nodes to the first value.