Edge RF Spectrum Management With Automated Signal Reports
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Solution Overview
Problem
Current spectrum management devices are limited by their specificity to narrow frequency ranges, bulkiness, high cost, difficulty in use, and lack of real-time data analysis, making them inefficient for comprehensive spectrum management.
Innovation Solution
A system for near real-time automated identification and classification of wireless signals, using apparatuses with processors and sensors to analyze and generate reports on signal sources, enabling real-time spectrum management and open space identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If narrowly tailored spectral analyzer devices are used for specific frequency ranges, then measurement precision for that specific range is improved, but device versatility and adaptability to other frequency ranges deteriorates
Solution Approach 1:
The patent implements a universal spectrum management device that can analyze multiple frequency ranges (e.g., 900 MHz cellular, 2.1 GHz PCS, 1.9 GHz digital cellular, 850 MHz cellular, 1.8 GHz digital cellular) within a single device, eliminating the need for multiple narrowly tailored devices and their associated hardware/software complexity
2Adaptability or versatility
If comprehensive spectrum management covering all frequency ranges is implemented, then adaptability and versatility are improved, but device complexity and cost increase
Solution Approach 1:
A single integrated device performs all spectrum management functions across multiple frequency ranges, consolidating what would traditionally require multiple specialized devices and reducing overall system complexity
Solution Approach 2:
The device dynamically adjusts its operating parameters including frequency range, resolution bandwidth, and detection thresholds based on the selected measurement mode and target frequency band, enabling comprehensive coverage without requiring separate hardware configurations for each spectrum type
3Productivity
If real-time spectrum analysis is performed, then productivity and responsiveness are improved, but device complexity and processing requirements increase
Solution Approach 1:
The device continuously monitors and analyzes spectrum activity in real-time without interruption, providing ongoing detection and identification of signals across all frequency ranges simultaneously rather than performing sequential analysis
Solution Approach 2:
The system pre-configures detection parameters, signal profiles, and analysis algorithms before operation, enabling rapid real-time processing by having the computational framework already in place rather than performing complex analysis from scratch during operation
4Loss of information
If comprehensive spectrum monitoring is implemented, then loss of information is reduced, but device complexity and operational difficulty increase
Solution Approach 1:
The device automatically performs signal detection, classification, and identification without requiring manual intervention, and can self-configure its operating parameters based on the selected frequency range and measurement objectives, reducing the operational burden on users
Data Source
AI summary
Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.