Wireless Network Analytics Engine for Distributed Ledger State Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless data networks face challenges in effectively and efficiently detecting specific changes in network data stored in distributed ledgers due to the massive amount of network data and limited analysis capabilities.
Innovation Solution
The integration of a data analytics engine that filters and processes core information from Radio Access Networks (RANs), core networks, and distributed ledgers to detect and identify analytic information, utilizing consensus algorithms and ledger oracles to characterize and store state changes, enabling efficient detection of specific network states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed ledgers store massive amounts of network data, then data completeness and immutability are improved, but detection efficiency and analysis capability deteriorate
Solution Approach 1:
The patent extracts and stores only the essential immutable data in distributed ledgers while keeping dynamic analysis data in centralized databases. This separation allows the ledger to maintain data completeness and immutability for critical network information while enabling efficient detection and analysis of network states through centralized processing of extracted data.
Solution Approach 2:
The system segments data storage and processing across multiple components: distributed ledgers store immutable core data, centralized databases store dynamic analysis data, and analytics engines process detected states. This segmentation enables simultaneous achievement of data reliability through distributed storage and detection efficiency through centralized analysis.
2Reliability
If distributed ledgers store massive amounts of network data, then data completeness is improved, but system complexity increases
Solution Approach 1:
The patent extracts only essential immutable data for ledger storage while maintaining dynamic data in simpler centralized databases. This extraction reduces the complexity burden on the distributed ledger system while preserving data completeness through selective storage of critical information.
Solution Approach 2:
The system introduces intermediary components including analytics engines and centralized databases that mediate between the distributed ledgers and detection requirements. These intermediaries handle complex analysis tasks, allowing the ledgers to remain relatively simple while achieving comprehensive data completeness.
3Measurement precision
If current wireless data networks analyze network data, then detection capability is limited, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-storing essential network data in distributed ledgers with immutable properties and pre-configuring analytics engines with detection algorithms. This preliminary preparation enables rapid detection of network states without requiring extensive real-time processing, thus improving detection capability while minimizing processing time loss.
Solution Approach 2:
The system replaces traditional mechanical data processing approaches with blockchain-based immutable storage and oracle-driven automated detection. This substitution eliminates the need for complex mechanical analysis systems while achieving superior detection capability through cryptographic verification and automated smart contract execution.
Data Source
AI summary
In a wireless data network, Radio Access Networks (RANs) exchange user data between User Equipment (UEs) and core networks. The core networks exchange user data between the RANs and external data networks. The core networks transfer core information to distributed ledgers that characterizes the user data exchanges. The distributed ledgers add core data that characterizes core information state changes and store the core information. A data analytics engine filters the core data to detect core information states. The data analytics engine transfers core analytic data associated with the core information states.