Wireless User Device Data Attestation via Satellite Signal Metrics
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Solution Overview
Problem
The delivery of integrated data communication services over satellite systems, terrestrial wireless networks, and wireline data networks is poorly characterized for subsequent analysis, and the cost to deploy such a monitoring system typically exceeds the requisite return-on-investment, with wireless user devices not being trusted to supply accurate data regarding multiple parallel communication systems.
Innovation Solution
A wireless communication system that includes a user device generating user data and wirelessly receiving satellite and terrestrial signals. The system determines signal metrics for these signals and compares them to known metrics, generating an attestation score for the user data based on the comparison, which is then used to attest to the authenticity of the user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a monitoring system is deployed to characterize data communication services, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The user device performs self-characterization by locally determining signal metrics from received satellite and terrestrial signals without requiring external monitoring infrastructure. The device uses its own received signals to generate characterization data, eliminating the need for complex external monitoring systems while achieving accurate service characterization.
Solution Approach 2:
The patent introduces an intermediary characterization approach where signal metrics serve as intermediaries between the physical communication signals and the user data. By characterizing the communication service through measurable signal parameters (signal strength, quality indicators) rather than direct monitoring of data transmission, the system achieves accurate characterization with minimal complexity.
2Device complexity
If wireless user devices are trusted to supply accurate data, then device complexity is reduced, but reliability deteriorates due to lack of trust in data accuracy
Solution Approach 1:
The system implements feedback mechanisms where network elements receive and verify signal metrics from user devices. The network provides feedback by comparing reported signal characteristics against expected values and can request re-characterization or adjust trust levels based on consistency checks, thereby ensuring data reliability without requiring overly complex verification infrastructure at the device level.
Solution Approach 2:
The patent replaces complex mechanical verification systems with cryptographic and protocol-based trust mechanisms. Instead of using complex hardware verification systems, the invention uses secure data exchange protocols, digital signatures, and network element verification to ensure data authenticity and reliability, simplifying the overall system while maintaining trust.
3Measurement precision
If comprehensive monitoring of multiple parallel communication systems is implemented, then measurement precision is improved, but loss of energy increases due to additional processing requirements
Solution Approach 1:
The system performs partial characterization by focusing on key signal metrics that are most indicative of communication service quality rather than comprehensive monitoring of all possible parameters. By selecting and processing only the essential signal characteristics (signal strength, quality indicators) rather than all possible measurement parameters, the system achieves sufficient characterization accuracy with reduced energy consumption.
Solution Approach 2:
The patent implements preliminary action by pre-configuring the types of signal metrics to be measured and the characterization methodology before actual communication occurs. The device knows in advance what parameters need to be monitored and how to process them, eliminating the need for complex real-time analysis and reducing processing energy requirements while maintaining characterization precision.
Data Source
AI summary
In some examples, a wireless communication system comprises a user device and network elements. The user device generates user data. The user device wirelessly receives a satellite signal from a satellite. The user device determines satellite signal metrics for the satellite signal. The user device wirelessly transfers the user data and the satellite signal metrics to the network elements. The network elements determine known satellite metrics for the satellite. The network elements compare the satellite signal metrics to the known satellite metrics. The network elements to attest to the user data based on the comparison.