Fixed Wireless Qualification via Multi-Spectrum Measurement
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Solution Overview
Problem
Existing methods for determining the suitability of a location for fixed wireless service in diversified wireless networks are inaccurate due to the failure to account for various environmental and device-specific factors, leading to inefficiencies in resource allocation and service quality assessment.
Innovation Solution
A fixed wireless qualification service is implemented, where an end device performs measurements and collects information on uplink and downlink speeds, signal quality, and other network parameters, which are then used by a network device to calculate a service qualification value, accounting for differences in devices and frequency bands, and recalculating speeds based on congestion and frequency band differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to determine location suitability for fixed wireless service, then the process is simple and quick, but the accuracy of service qualification is poor due to failure to account for environmental and device-specific factors
Solution Approach 1:
The system performs preliminary measurements of uplink and downlink speeds, signal quality, and network parameters before final service qualification. These preliminary actions gather necessary data about environmental and device-specific factors that will be used in subsequent calculations to improve accuracy.
Solution Approach 2:
The system implements feedback mechanisms by recalculating speeds based on congestion levels and frequency band differences. The service qualification value is continuously refined based on feedback from measured parameters, allowing the system to account for varying conditions and improve measurement precision.
2Measurement precision
If measurements and recalculations accounting for device and frequency band differences are performed, then service qualification accuracy improves, but the time and computational resources required increase
Solution Approach 1:
The system performs preliminary measurements and calculations to gather essential data about uplink/downlink speeds, signal quality, and network parameters. This preliminary action allows the system to have measurement results ready before final qualification decisions are made, reducing the perceived time loss.
Solution Approach 2:
The system dynamically adjusts measurement and calculation parameters based on detected conditions such as network congestion levels and frequency band characteristics. By changing parameters adaptively, the system optimizes the balance between measurement precision and time consumption, performing more detailed calculations only when necessary.
3Productivity
If resource allocation is based on inaccurate service qualification, then allocation decisions are made quickly, but resource allocation efficiency is poor
Solution Approach 1:
The system uses feedback from accurate measurements of uplink and downlink speeds, signal quality, and congestion levels to inform resource allocation decisions. This feedback loop ensures that resources are allocated based on actual service qualification accuracy, improving overall resource allocation efficiency.
Solution Approach 2:
The system adjusts resource allocation parameters based on measured service qualification accuracy. When measurements indicate high-quality service potential, the system allocates more resources; when accuracy is lower, resource allocation is adjusted accordingly, optimizing productivity.
Data Source
AI summary
A method, a device, and a non-transitory storage medium are described in which a fixed wireless qualification service is provided. A network device uses test service information pertaining to a radio band and a candidate location from an end device as a basis to qualify prospective fixed wireless service, which is provisioned via a different radio band, at the candidate location. The network device further may calculate expected downlink and uplink values for the prospective fixed wireless service based on differences between the radio bands in terms of bandwidth, utilization factors, path losses, and device loses.