Dynamic Spectrum Prioritization for Real-Time Signal Allocation
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Solution Overview
Problem
Existing spectrum management systems face challenges in efficiently managing the finite wireless communications spectrum due to diverse devices operating at different 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 to detect, learn, and prioritize signal occupancy, allowing for real-time allocation of frequency bands based on customer-defined rules and policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional spectrum management methods are used to regulate radio frequencies, then spectrum usage can be managed over a long period, but the system cannot efficiently accommodate growing demand and diverse devices operating at different frequencies and technological standards
Solution Approach 1:
The patent implements dynamic spectrum management where the system continuously monitors the electromagnetic environment, detects signals from diverse devices, and adapts spectrum allocation in real-time based on current conditions rather than using static long-term regulations. This allows the system to efficiently accommodate growing demand and diverse technological standards.
Solution Approach 2:
The system employs feedback mechanisms by monitoring the electromagnetic environment, analyzing detected signals, and using this information to dynamically adjust spectrum allocation decisions. This closed-loop approach enables the system to respond to changing conditions and optimize spectrum utilization for diverse devices.
2Quantity of substance
If the available spectrum is increased to meet growing demand, then more wireless services can be supported, but the finite amount of spectrum becomes depleted
Solution Approach 1:
The system changes the parameters of spectrum allocation dynamically based on detected signals and environmental conditions. Rather than increasing the total spectrum quantity, it optimizes the utilization of existing spectrum by adjusting allocation parameters in real-time to meet growing demand efficiently.
Solution Approach 2:
The spectrum management system is designed to be universal, handling multiple wireless services, devices, and technological standards within the same finite spectrum resource. This multi-functional capability allows efficient support for diverse applications without requiring additional spectrum.
3Productivity
If real-time spectrum allocation is implemented to optimize performance, then application performance improves, but system complexity increases due to monitoring, detection, and analysis requirements
Solution Approach 1:
The system performs self-service by automatically monitoring the electromagnetic environment, detecting signals, analyzing occupancy, and making allocation decisions without requiring complex external control mechanisms. This autonomous operation optimizes performance while managing system complexity through integrated functions.
4Object-affected harmful factors
If comprehensive signal detection and analysis are performed to prioritize spectrum occupancy, then interference is minimized, but measurement and detection difficulty increases
Solution Approach 1:
The patent replaces complex mechanical or manual signal detection and analysis methods with automated electronic monitoring and deep learning-based analysis systems. This substitution enables comprehensive signal detection for interference minimization while reducing the practical difficulty of implementation through algorithmic processing.
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.