Real-Time Network Metrics for Location-Specific Infrastructure Adjustment
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Solution Overview
Problem
Communications networks experience varying performance metrics such as signal quality and bandwidth across different locations, with some areas needing improved performance due to unknown reasons, posing challenges for service providers to optimize infrastructure effectively.
Innovation Solution
A system that collects real-time network performance metrics from user endpoint devices, correlates them with non-network data sources like demographic and historical data, and adjusts infrastructure proactively based on insights gained from this correlation to enhance network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network infrastructure is adjusted based on traditional monitoring methods, then service provider can maintain basic network operation, but network performance variations in different locations cannot be effectively optimized
Solution Approach 1:
The patent implements feedback by collecting real-time network performance metrics from user endpoint devices and using this feedback to dynamically adjust network infrastructure. The system continuously monitors metrics such as signal strength, data throughput, and latency, then uses this feedback to identify underperforming locations and deploy appropriate infrastructure adjustments, creating a closed-loop system that adapts to actual network conditions.
Solution Approach 2:
The patent applies preliminary action by proactively deploying network infrastructure adjustments in locations identified as underperforming before users experience significant service degradation. The system analyzes aggregated performance data to predict areas needing improvement and pre-configures infrastructure changes, such as adjusting base station parameters or deploying additional capacity, ahead of actual performance failures.
2Loss of information
If real-time network performance metrics are collected from all user endpoint devices, then comprehensive network performance data is obtained, but data processing complexity and resource requirements increase
Solution Approach 1:
The patent merges data collection efforts by having user endpoint devices collectively contribute performance metrics that are aggregated into a unified dataset. Multiple devices in the same geographic area contribute overlapping measurements of signal strength, throughput, and latency, which are then combined and averaged to create a comprehensive view of network performance in that location, reducing the burden on any single device while maintaining data completeness.
Solution Approach 2:
The patent applies partial action by collecting performance metrics from a representative sample of user endpoint devices rather than requiring every device to contribute data. The system strategically selects devices that provide sufficient geographic coverage and performance diversity to accurately characterize network conditions, avoiding the excessive resource consumption that would result from universal participation while maintaining adequate data completeness for effective analysis.
3Productivity
If network infrastructure adjustments are made frequently based on real-time data, then network performance can be continuously optimized, but system stability and operational complexity increase
Solution Approach 1:
The patent implements periodic action by adjusting network infrastructure at scheduled intervals based on aggregated performance data rather than making continuous or real-time changes. The system collects performance metrics over defined time periods, analyzes trends, and implements infrastructure adjustments at periodic intervals, allowing the network to maintain stability between adjustments while still achieving continuous optimization over time through repeated measurement and adjustment cycles.
Solution Approach 2:
The patent applies parameter changes by modifying specific network infrastructure parameters such as base station transmission power, antenna tilt angles, or resource allocation configurations rather than making fundamental structural changes. These targeted parameter adjustments allow for fine-tuned optimization of network performance while maintaining overall infrastructure stability, as the changes are localized and reversible if needed.
Data Source
AI summary
In one example, the present disclosure describes a device, computer-readable medium, and method for proactively adjusting the infrastructure of a communications network in response to reporting of real-time network performance. For instance, in one example, a method includes obtaining real-time network performance metrics directly from a user endpoint device operated by a customer of a telecommunication service provider network, correlating the real-time network performance metrics with data from another data source, wherein the data includes data other than network performance metrics, and adjusting an infrastructure of the telecommunication service provider network in response to an insight gleaned through the correlating.