Machine-Learned RF Signal Detection for Dynamic Spectrum Sharing
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Solution Overview
Problem
Current spectrum management devices are limited by their specificity to certain technologies, bulkiness, high cost, difficulty in use, reliance on external databases, and inability to provide real-time or near real-time data, making them inefficient for dynamic spectrum management in complex RF environments.
Innovation Solution
A system utilizing a receiver, processor, and blockchain platform for real-time dynamic spectrum allocation and reallocation, with statistical learning and machine learning algorithms to create a knowledge map for identifying signals, including low-power and narrowband signals, and enabling dynamic spectrum sharing through smart contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If narrowly tailored spectral analyzers are used for specific communication standards, then measurement precision for that specific standard is improved, but adaptability to other technologies and spectrum changes deteriorates
Solution Approach 1:
The patent implements a universal spectral analyzer that can detect and analyze multiple communication standards and signal types across different frequency bands. The system uses a configurable receiver that can be adapted to detect various modulation schemes and communication protocols without requiring separate dedicated hardware for each standard, thereby achieving both measurement precision and broad adaptability.
Solution Approach 2:
The patent employs dynamic spectral analysis capabilities that allow the system to adapt its detection parameters, frequency ranges, and analysis methods in real-time based on the detected signal characteristics. The analyzer can dynamically adjust its operation to handle changing spectrum conditions and different communication standards, resolving the contradiction between precision for specific standards and adaptability to changes.
2Adaptability or versatility
If comprehensive spectrum management devices are used to cover all technologies, then adaptability is improved, but device complexity and bulkiness increase
Solution Approach 1:
The patent designs a unified spectral management platform that consolidates multiple detection and analysis functions into a single system. Instead of requiring separate devices for different communication standards, the system uses a universal receiver and configurable analysis engine that can handle diverse signal types through software-defined approaches, reducing hardware complexity while maintaining broad adaptability.
Solution Approach 2:
The patent merges multiple spectral analysis functions, detection algorithms, and processing capabilities into a single integrated platform. By combining what would traditionally require separate dedicated devices into one unified system with shared hardware resources and coordinated software modules, the patent reduces overall device complexity while preserving comprehensive coverage of communication standards.
3Measurement precision
If traditional spectral management systems are used, then measurement capabilities are provided, but real-time data provision and responsiveness deteriorate
Solution Approach 1:
The patent implements continuous spectral monitoring and real-time signal detection capabilities. The system maintains constant surveillance of the electromagnetic spectrum, continuously updating its analysis as signals appear and change, thereby providing real-time data without interrupting measurement operations. This continuous operation eliminates the delays associated with periodic sampling in traditional systems.
Solution Approach 2:
The patent employs real-time feedback mechanisms where detected signal characteristics immediately influence the system's detection and analysis parameters. The feedback loop allows the system to adjust its operation based on current spectrum conditions, enabling rapid response to changing environments while maintaining measurement precision through adaptive algorithms that update continuously.
4Loss of information
If externally connected database systems are used for spectrum analysis, then comprehensive data access is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent implements self-service capabilities where the spectral management system autonomously performs data collection, analysis, and storage without requiring external database systems. The system maintains its own internal database for storing spectral information, signal characteristics, and analysis results, thereby eliminating the complexity of external connections while preserving comprehensive data access and reducing operational difficulty.
Data Source
AI summary
Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.