FWA Placement Using Predicted Connection Quality
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Solution Overview
Problem
Conventional methods for placing fixed wireless access (FWA) devices rely solely on signal strength, which does not accurately predict connection quality, leading to suboptimal user experiences due to poor connection between the FWA device and the base station.
Innovation Solution
An FWA device employs a multi-tiered strategy incorporating machine learning and AI to measure performance in multiple locations, using network and map data to determine and recommend optimal placement based on predicted connection quality, and integrates an optimized packet scheduler to prioritize device connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If signal strength is used as the sole criterion for FWA device placement, then the placement process is simple and quick, but connection quality is inaccurately predicted leading to suboptimal user experience
Solution Approach 1:
The patent changes the parameter used for placement evaluation from single-dimensional signal strength to multi-dimensional connection quality metrics including throughput, latency, packet loss, and signal strength. This parameter expansion enables accurate connection quality prediction while maintaining ease of operation through automated multi-location testing.
Solution Approach 2:
The system performs preliminary testing at multiple potential locations before final placement is made. By pre-evaluating connection quality at various locations and providing recommendations beforehand, the system simplifies the user's placement decision while ensuring optimal connection quality is achieved.
2Measurement precision
If multiple locations are tested to improve connection quality prediction, then placement accuracy is enhanced, but the time required for placement increases
Solution Approach 1:
The FWA device autonomously performs connection quality testing at multiple locations without requiring manual user intervention. The device automatically measures performance parameters, compares results, and provides placement recommendations, thereby reducing placement time while maintaining high prediction accuracy.
Solution Approach 2:
The system implements feedback mechanisms where connection quality measurements at each location are immediately processed and used to generate placement recommendations. This real-time feedback loop eliminates the need for manual analysis and reduces the time required to determine optimal placement.
3Productivity
If conventional signal strength-based placement is used, then deployment is fast and simple, but connection quality is compromised
Solution Approach 1:
The FWA device performs multiple functions during the placement process: it tests signal strength, measures throughput, evaluates latency, assesses packet loss, and determines optimal placement location. This multi-functional approach enables fast deployment while ensuring high connection quality through comprehensive performance evaluation.
Solution Approach 2:
The patent replaces the simple mechanical signal strength measurement with a comprehensive electronic performance evaluation system that measures multiple connection quality parameters. This substitution enables both rapid deployment through automation and high reliability through multi-parameter assessment.
Data Source
AI summary
Methods, media, and systems are provided for facilitating the determination of a placement for a fixed wireless access (FWA) device. A connection quality for a connection between the FWA device and a node, associated with a wireless telecommunications network, is determined at a first location. A predicted connection quality is determined for a second location. The second location is provided to a user should the predicted connection quality for the second location be an improvement over the connection quality at the first location.