Dynamic Spectrum Prioritization for Signal Detection and Sharing
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Solution Overview
Problem
Existing spectrum management systems struggle with efficiently managing the finite electromagnetic spectrum due to diverse devices operating at different frequencies and technological standards, leading to difficulties in optimizing spectrum usage and meeting growing demand.
Innovation Solution
A system for dynamic, prioritized spectrum utilization management that includes monitoring sensors, data analysis engines, and a tip and cue server to automatically detect, learn, and geolocate signals of interest, providing actionable data for optimizing spectrum use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional spectrum management systems are used to regulate radio frequencies, then spectrum usage can be managed over a long period, but the system cannot efficiently optimize spectrum usage due to diverse devices operating at different frequencies and technological standards
Solution Approach 1:
The patent implements dynamic spectrum management where the system continuously adapts spectrum allocation based on real-time detection of signals of interest, changing conditions, and priority levels. The spectrum management is not static but dynamically adjusts to diverse devices and technological standards, enabling efficient optimization without requiring overly complex manual configuration for each device type.
Solution Approach 2:
The system employs automated detection engines that autonomously identify signals of interest, determine their characteristics, and manage spectrum allocation without human intervention. This self-service capability allows the system to handle diverse devices and standards efficiently, improving productivity while keeping operational complexity manageable through automation rather than manual processes.
2Adaptability or versatility
If spectrum management regulates all devices across different frequencies and standards, then comprehensive coverage is achieved, but the difficulty of detection and measurement increases significantly
Solution Approach 1:
The patent extracts and focuses detection efforts on specific 'signals of interest' rather than attempting to analyze all signals across the entire spectrum simultaneously. By identifying and isolating particular signals that require management, the system achieves comprehensive adaptability to diverse devices while reducing detection difficulty through targeted measurement of only relevant signals.
Solution Approach 2:
The system introduces detection engines as intermediary components that bridge the gap between diverse devices operating at different frequencies and the spectrum management function. These engines act as mediators that translate various signal types and standards into a unified format for management, maintaining versatility while simplifying the detection and measurement process.
3Productivity
If dynamic spectrum sharing is implemented among diverse applications, then spectrum utilization efficiency improves, but interference management becomes more challenging
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors spectrum usage, detects signals of interest, and adjusts allocations in response to detected conditions. This feedback loop enables dynamic spectrum sharing among diverse applications while automatically managing interference by detecting when interference occurs and reallocating spectrum resources to minimize harmful effects.
Solution Approach 2:
The system takes preliminary anti-action by proactively identifying signals of interest and establishing priority levels before interference problems arise. By pre-configuring priority-based allocation and continuously monitoring for changes in signal conditions, the system prevents interference issues before they occur, allowing efficient dynamic sharing while mitigating harmful interference effects.
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.