Dynamic, Prioritized Spectrum Allocation for Multi-Standard Devices
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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, a semantic engine with programmable rules and policy editor, and a tip and cue server to automatically detect signals of interest, learn the electromagnetic environment, and dynamically allocate frequency bands based on customer-defined policies and priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional static spectrum allocation methods are used, then regulatory compliance is maintained, but spectrum utilization efficiency deteriorates due to finite spectrum resources and exponentially growing wireless demand
Solution Approach 1:
The patent implements dynamic spectrum allocation that continuously monitors electromagnetic environment, detects signals of interest, and reallocates frequency bands in real-time based on learned patterns and customer-defined policies, transforming static spectrum management into an adaptive system that responds to changing conditions
Solution Approach 2:
The system employs machine learning engines that automatically learn electromagnetic environment patterns and autonomously make spectrum allocation decisions based on detected signals and defined policies, reducing the need for manual regulatory intervention while maintaining compliance
2Adaptability or versatility
If diverse wireless devices operating at different frequencies and standards are accommodated, then device compatibility is improved, but spectrum management complexity increases
Solution Approach 1:
The patent creates a universal spectrum management platform that handles multiple wireless standards and frequency bands through a single integrated system using standardized signal detection, classification, and allocation mechanisms that work across diverse device types
Solution Approach 2:
The system introduces an intermediary layer of signal detection and classification engines that translate diverse device signals into a standardized format for policy-based management, simplifying the interface between heterogeneous devices and the allocation mechanism
3Productivity
If real-time spectrum monitoring and dynamic allocation is implemented, then spectrum optimization is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary signal detection, classification, and environment learning to build predictive models that enable faster real-time allocation decisions, preparing the system in advance for dynamic spectrum management tasks
Solution Approach 2:
The patent implements continuous feedback loops where the machine learning engine learns from detected signals and allocation outcomes, refining its models over time to improve decision accuracy and reduce computational complexity in subsequent operations
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.


