Mobile Device Network Reporting via Random Parameter Comparison
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Solution Overview
Problem
Current mobile network maintenance solutions rely on historical data, which may not accurately reflect current network conditions, especially during widespread issues affecting multiple radios, leading to inefficient resource allocation and inaccurate coverage assessments.
Innovation Solution
Mobile devices dynamically report network information based on received parameters and trigger events, using random number comparisons and modifying factors to balance information sharing with battery life and network resource considerations, allowing network control devices to construct accurate coverage maps and prioritize repairs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mobile devices continuously report network information, then network condition assessment accuracy is improved, but battery life and network resource consumption deteriorate
Solution Approach 1:
The system implements partial action by having mobile devices report network information selectively rather than continuously. Devices compare random numbers against reporting parameters to determine whether to report, resulting in only a subset of devices reporting at any given time. This partial reporting mechanism maintains sufficient network condition assessment accuracy while significantly reducing battery consumption and network resource usage compared to continuous reporting by all devices.
2Measurement precision
If mobile devices continuously report network information, then network condition assessment accuracy is improved, but network resource consumption deteriorates
Solution Approach 1:
The system applies partial action by controlling the quantity of reporting devices through random number comparison with reporting parameters. Only a controlled subset of mobile devices reports network information at any time, rather than all devices reporting continuously. This reduces the total volume of data traffic and signaling resources consumed by the network while maintaining adequate coverage and assessment accuracy through statistical sampling.
Solution Approach 2:
The system dynamically adjusts the reporting parameter values based on network conditions, ice storm severity, and coverage assessment needs. When network issues are detected or during severe weather events, reporting parameters are modified to increase the proportion of devices that report, thereby increasing network resource consumption only when necessary for accurate assessment, rather than maintaining high resource usage continuously.
3Ease of operation
If historical coverage information is used to assess network coverage, then resource allocation is simplified, but coverage assessment accuracy deteriorates during widespread issues
Solution Approach 1:
The system implements feedback mechanisms where mobile devices report actual observed network conditions, radio availability, and coverage information in real-time. This feedback loop allows the network control device to compare reported conditions against historical data and adjust resource allocation decisions dynamically. During widespread issues like ice storms, this real-time feedback provides accurate current coverage status that historical information alone cannot provide, while still maintaining operational simplicity through automated processing.
Data Source
AI summary
A mobile communications device may determine whether to report information regarding operation of the mobile device on a mobile network. The determination may be based on a reporting parameter set by a network control device and received via a broadcast message from a radio access node. The mobile device may compare the value of the reporting parameter to a randomly generated number. Based on the comparison, the mobile device may determine whether or not to provide information regarding operation of the mobile device or the radio access node to the network control device. The network control device may adjust the value of the reporting parameter to control the likelihood that a mobile device will report.