UE Data Usage Ledger Reporting via Edge Record Synthesizers
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Solution Overview
Problem
Current telecommunications network data usage assessment processes are burdensome due to the sheer volume of data generated, requiring significant network resources for mediation, aggregation, and reformatting, leading to latency and resource diversion from subscriber services.
Innovation Solution
Decentralize data usage monitoring and classification tasks to data usage record synthesizers located at or near the point of data consumption, using trusted devices or network edge applications to classify and record data usage in an immutable ledger, leveraging machine learning and smart contracts to generate accurate ledger records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data usage monitoring and aggregation is centralized in the network core, then data collection is simplified, but network load increases and processing latency increases
Solution Approach 1:
The patent segments the centralized data usage monitoring function into distributed data usage record synthesizers deployed at network edges and user devices. Each synthesizer independently collects, classifies, and aggregates data usage records locally, then submits summaries to the network core. This segmentation reduces network core load and processing latency while maintaining comprehensive data collection.
Solution Approach 2:
The patent introduces a new dimensional approach by deploying data usage monitoring functions across multiple spatial dimensions (network core, network edge, user device) rather than concentrating them in a single location. This multi-dimensional distribution enables parallel processing of data usage records, reducing overall processing time and network core burden.
2Reliability
If data usage records are collected and processed in the network core, then centralized control is maintained, but network resources are diverted from subscriber services
Solution Approach 1:
The patent implements self-service by enabling user devices and network edge synthesizers to autonomously collect, classify, and aggregate their own data usage records. These distributed synthesizers perform local processing and generate ready-to-use ledger records without requiring intensive network core resources for raw data processing, thus maintaining network service delivery efficiency while ensuring reliable data usage assessment.
Solution Approach 2:
The patent applies preliminary action by having data usage record synthesizers perform data collection, classification, and aggregation operations in advance before submitting records to the network core. This pre-processing reduces the computational burden on network core resources, allowing them to focus on higher-value tasks while maintaining accurate data usage assessment.
3Quantity of substance
If traditional mediation and aggregation processes are used, then comprehensive data collection is achieved, but the volume of data requiring processing becomes unmanageably large
Solution Approach 1:
The patent merges multiple data collection and processing functions (data usage monitoring, classification, aggregation, and ledger record generation) into integrated data usage record synthesizers deployed at network edges and user devices. This consolidation eliminates the need for separate mediation and aggregation infrastructure in the network core, reducing overall system complexity while maintaining comprehensive data collection capabilities.
Data Source
AI summary
Systems and methods for direct ledger reporting of user equipment (UE) data usage for telecommunications networks are provided. Embodiments of the present disclosure, at least in part, assess telecommunications network data usage by decentralizing the tasks of monitoring and collecting data regarding the types and quantity of data usage, delegating those tasks to data usage record synthesizers that are instantiated at, or close to, the point and/or device where the data is being consumed. In some embodiments, assessing data usage may include determining a classification of an instance of UE network data usage based on data packet traffic; determining ledger record data for inclusion in one or more fields of a ledger record based on the classification; generating a ledger record based on the one or more fields of ledger record data; and transmitting the ledger record via the telecommunications network for recording to an immutable data usage ledger.