Network Performance Profiling Using Stationary Wireless Nodes
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Solution Overview
Problem
Existing network performance evaluation systems struggle to accurately identify and isolate network performance issues due to the dynamic nature of mobile device locations, leading to inefficiencies in troubleshooting and resource allocation.
Innovation Solution
A network performance evaluation system that utilizes stationary networking devices with fixed locations to collect and analyze wireless communication metrics, enabling precise identification of network issues by generating a network performance profile based on geolocation and communication data from these devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If mobile device locations are used for network performance evaluation, then the system can cover a wider area and collect more data, but the dynamic nature of mobile device locations reduces measurement precision and reliability
Solution Approach 1:
The system segments the network evaluation function into two parts: mobile devices provide broad coverage and trigger issue detection, while stationary devices provide precise location-based measurement and validation. This segmentation allows each component to excel at its specific function, resolving the contradiction between coverage area and measurement precision.
Solution Approach 2:
Stationary networking devices act as intermediaries between mobile devices and the network evaluation system. They receive triggering information from mobile devices and provide stable, location-verified measurement data back to the system, mediating between the dynamic mobile data collection and the need for precise location-based evaluation.
2Productivity
If mobile devices are used for network performance evaluation, then data collection can be distributed across the network, but troubleshooting efficiency and resource allocation are reduced due to location dynamics
Solution Approach 1:
The system performs preliminary actions by having stationary devices pre-established at known locations with verified geolocation data. When mobile devices trigger evaluation needs, the system can immediately query pre-positioned stationary devices rather than performing location verification and device discovery in real-time, significantly reducing troubleshooting time.
Solution Approach 2:
Stationary devices automatically provide their verified location information and measurement capabilities to the network evaluation system without requiring real-time location determination or manual verification. This self-service capability eliminates time-consuming location verification steps in the troubleshooting process.
3Measurement precision
If stationary networking devices are used for network performance evaluation, then measurement precision and reliability are improved, but the coverage area and adaptability are reduced
Solution Approach 1:
The system creates a universal evaluation framework where stationary devices serve multiple functions: they provide precise location-based measurements, validate mobile device reports, establish baseline performance metrics, and serve as reference points for network optimization. This multi-functionality compensates for their fixed locations by making each stationary device a versatile evaluation node.
Solution Approach 2:
Stationary devices provide feedback mechanisms where their precise measurements validate and correct mobile device data. This feedback loop allows the system to maintain high measurement precision while covering diverse areas, as stationary devices continuously verify and refine the evaluation data collected from mobile devices across the network.
Data Source
AI summary
In an example, a location associated with a network performance issue may be identified. A plurality of stationary networking devices proximal the location may be identified. Measurement data associated with wireless communication between the plurality of stationary networking devices and wireless communication sites of a telecommunication service provider may be retrieved. The measurement data may be derived from signal measurements performed during a period of time. A network performance profile associated with the network performance issue may be generated based upon the measurement data.


