Dynamic Spectrum Utilization With Real-Time Sensor Feedback
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Solution Overview
Problem
Existing spectrum management systems are inefficient in dynamically managing the finite electromagnetic spectrum due to varying device frequencies and technological standards, leading to difficulties in optimizing spectrum usage and accommodating growing demand.
Innovation Solution
A system for dynamic, prioritized spectrum utilization management that includes monitoring sensors, data analysis engines, and a semantic engine with programmable rules and policy editors to automatically detect signals of interest, learn the electromagnetic environment, and allocate frequency bands based on customer-defined policies and priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional spectrum management systems are used to regulate radio frequency usage, then spectrum allocation can be maintained over long periods, but the systems cannot efficiently adapt to varying device frequencies and technological standards, leading to suboptimal spectrum utilization
Solution Approach 1:
The patent implements dynamic spectrum management where the system continuously monitors the electromagnetic environment and automatically adjusts spectrum allocation in real-time based on detected signals and learned patterns, transitioning from static long-term allocation to adaptive dynamic allocation that responds to changing conditions
Solution Approach 2:
The system employs feedback mechanisms through monitoring sensors that detect electromagnetic signals and feed this information back to the data analysis engines, which then adjust spectrum allocation policies based on the detected environment, creating a closed-loop adaptive system
2Quantity of substance
If the available electromagnetic spectrum is shared among more devices and applications, then spectrum demand can be accommodated, but interference between devices increases
Solution Approach 1:
The patent applies local quality by assigning different spectrum allocation strategies to different spatial locations, frequency bands, and time periods based on the specific electromagnetic environment detected in each context, allowing high device density in some areas while maintaining low interference through localized optimization
Solution Approach 2:
The system dynamically changes spectrum allocation parameters such as frequency bands, time slots, and power levels based on real-time environmental detection and learned patterns, adjusting these parameters to accommodate more devices while maintaining acceptable interference levels
3Adaptability or versatility
If manual spectrum management approaches are used to accommodate different regulations and standards, then comprehensive control can be achieved, but the management process becomes complex and time-consuming
Solution Approach 1:
The patent implements self-service through automated spectrum management where the system independently monitors the electromagnetic environment, analyzes detected signals, learns from patterns, and automatically adjusts spectrum allocation without human intervention, eliminating the need for complex manual management processes
Solution Approach 2:
The system provides universal spectrum management capabilities that can handle multiple regulations, standards, and device types through a single integrated platform that automatically adapts to different requirements through environmental learning rather than requiring separate manual configuration for each standard
Data Source
AI summary
Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.


