5G Wi-Fi Network Optimization via Master Node Data Capture
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Solution Overview
Problem
Existing wireless network systems, particularly those operating on both 5G and Wi-Fi networks, often suffer from suboptimal performance due to ad-hoc initial installations and lack of mechanisms for post-installation optimization, leading to degraded performance over time as environmental conditions change.
Innovation Solution
A computer-implemented method and system that utilizes a master node to capture location data and measurement data from mobile devices, employing this data to optimize network performance by adjusting parameters within the wireless network system, thereby enhancing both 5G and Wi-Fi network operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If ad-hoc installation method is used for wireless network deployment, then installation process is simple and quick, but network performance becomes suboptimal and cannot be improved over time
Solution Approach 1:
The system transitions from static ad-hoc installation to dynamic self-optimization by implementing continuous measurement data collection and automated parameter adjustment mechanisms that adapt the network configuration over time based on actual performance metrics and environmental conditions
Solution Approach 2:
The system establishes a feedback loop where measurement data from the wireless network is continuously collected, analyzed, and used to automatically adjust network parameters, enabling the system to self-optimize and maintain optimal performance without manual intervention
2Loss of time
If prediction or simulation tools are used for network installation, then trial and error effort is reduced, but the assumptions are estimates that are not replicative of actual numbers resulting in non-optimal installation
Solution Approach 1:
The system performs preliminary measurements and data collection during the installation phase to establish baseline performance metrics, enabling subsequent optimization based on actual measured data rather than theoretical estimates
Solution Approach 2:
The system automatically collects measurement data and adjusts parameters without requiring external verification or manual optimization, enabling continuous self-improvement based on actual operational data
3Device complexity
If initial network configuration is fixed after installation, then system complexity is reduced, but performance degrades over time as user equipment distributions and traffic patterns change
Solution Approach 1:
The system implements dynamic parameter adjustment where network configuration automatically adapts to changing environmental conditions, user equipment distributions, and traffic patterns through continuous measurement and optimization
Solution Approach 2:
The system automatically modifies network parameters such as power levels, antenna tilts, and resource allocation based on measured performance data to maintain optimal performance as conditions change over time
Data Source
AI summary
In order to operate and maintain a wireless network system in a building that includes a 5G network and a Wi-Fi network, the master node captures location data and measurement data reported by one or more mobile devices. The master node then uses the location data and the measurement data reported by the one or more mobile devices and measurement data captured by the master node to optimize network performance, and adjusts one or more parameters within the wireless network system.