Dynamic Spectrum Management with Segmented, Prioritized Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing spectrum management systems face challenges in efficiently managing the finite electromagnetic spectrum due to varying device frequencies, technological standards, and growing demand, leading to difficulties in optimizing spectrum utilization and interference management.
Innovation Solution
A system comprising monitoring sensors, data analysis engines, a semantic engine with programmable rules and policy editor, and a tip and cue server, which automatically detect signals of interest, divide spectrum bands, and create actionable data for dynamic, prioritized spectrum utilization, leveraging machine learning and edge analytics for real-time data processing and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional spectrum management methods are used to regulate radio frequencies, then spectrum usage can be controlled, but effective spectrum management becomes difficult due to various devices emanating wireless signals at different frequencies and across different technological standards
Solution Approach 1:
The patent segments the electromagnetic spectrum into multiple frequency bands and divides spectrum management into hierarchical levels (federal, regional, local). Each segment can be managed independently with appropriate policies and rules, making the overall complex system tractable through modular organization of frequency resources and management functions.
Solution Approach 2:
The patent introduces a spectrum broker as an intermediary entity that mediates between spectrum users and regulatory bodies. The broker receives spectrum usage requests, applies policy rules, and coordinates allocations across multiple devices and frequency bands, simplifying the management complexity by centralizing decision-making logic.
2Productivity
If spectrum is allocated to meet growing demand from wireless technologies and applications, then service requirements are satisfied, but available spectrum becomes overutilized and interference increases
Solution Approach 1:
The patent implements dynamic spectrum allocation where frequency assignments are not fixed but can be adjusted in real-time based on current usage conditions, interference levels, and service requirements. The system continuously monitors spectrum conditions and reallocates frequencies dynamically to optimize utilization while preventing interference through adaptive policy enforcement.
Solution Approach 2:
The patent changes key parameters such as frequency assignment, power levels, and time allocation based on real-time conditions. By adjusting these parameters dynamically according to service requirements and interference conditions, the system achieves high utilization efficiency while maintaining acceptable interference levels through continuous optimization.
3Measurement precision
If real-time spectrum analysis is performed across wide frequency bands to identify available frequencies, then spectrum opportunities are discovered, but data processing complexity and computational requirements increase
Solution Approach 1:
The patent segments wide frequency bands into smaller sub-bands for independent analysis. Each sensor analyzes specific frequency ranges, and results are aggregated to form a complete spectrum picture. This segmentation reduces the computational burden on individual processing units while maintaining overall detection accuracy through coordinated multi-sensor operation.
Solution Approach 2:
The patent implements self-organizing sensor networks where individual sensors autonomously analyze their assigned frequency bands and automatically share findings with the network. Each sensor serves itself by performing local signal processing and making preliminary decisions, reducing the overall computational complexity that would be required if centralized processing handled all analysis.
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.