Universal Spectrum Analyzer for Real-Time Open Space Detection
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Solution Overview
Problem
Current spectrum management devices face challenges such as being narrowly tailored to specific technologies, requiring complex changes with cellular standard changes, being bulky and difficult to use, lacking real-time data analysis, and not being able to identify open spaces in wireless communications spectra effectively.
Innovation Solution
A system and method that uses a device with sensors and processors to analyze radio frequency signals, identify signal emitting devices, and automatically detect open spaces in near real-time, without requiring external connectivity to a server, by measuring signal characteristics like frequency, power, and modulation, and comparing them to historical databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a spectral analyzer is narrowly tailored to a specific communications standard, then it can provide specialized spectral information for that standard, but it becomes too complicated to update when the standard changes and cannot manage other spectrum technologies
Solution Approach 1:
The patent implements a universal spectrum management device that can detect and analyze multiple communications standards (cellular, WiFi, radar, television, etc.) through a single platform. The device uses a broadband receiver capable of scanning across wide frequency ranges and an identification system that recognizes various signal types, eliminating the need for multiple specialized devices or frequent hardware updates when standards change.
2Adaptability or versatility
If a broad spectrum management view is achieved using traditional methodologies, then complete spectrum analysis is possible, but the device becomes bulky, expensive, and difficult to use
Solution Approach 1:
The patent extracts and implements only the essential functions needed for spectrum management: a broadband receiver for signal detection, an identification system for recognizing signal types, and a display for presenting results. By removing unnecessary components from traditional bulky spectrum analyzers while retaining core capabilities, the device achieves broad spectrum coverage in a compact, user-friendly form factor.
3Measurement precision
If traditional spectrum management devices are used, then spectrum analysis can be performed, but real-time data analysis and identification of open spaces is not provided
Solution Approach 1:
The patent implements continuous spectrum scanning and real-time analysis through a broadband receiver that continuously monitors the spectrum and an identification system that immediately recognizes signal types and characteristics. The system provides ongoing updates on spectrum usage and open spaces without interruption, enabling real-time decision-making for spectrum allocation and device deployment.
4Quantity of substance
If external connectivity to remote databases is required for spectrum analysis, then comprehensive data processing is possible, but the device cannot function independently and requires continuous network connection
Solution Approach 1:
The patent implements self-contained spectrum analysis capabilities within the device itself, including an onboard identification system that can independently recognize signal types, determine their characteristics, and identify open spaces without requiring external database connections. The device processes and stores spectrum data locally, enabling autonomous operation and immediate analysis results without network dependency.
Data Source
AI summary
Systems, methods, and apparatus are provided for automated identification of open space in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the open space based upon the measured and analyzed data in near real-time.