Autonomous Spectrum Management for Dynamic Frequency Allocation

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Solution Overview

Problem

Existing spectrum management systems face challenges in efficiently managing the growing demand for wireless communications spectrum due to varying device frequencies, technological standards, and global regulatory differences, leading to inefficient utilization of a finite resource.

Innovation Solution

A system for autonomous spectrum management that includes monitoring sensors, data analysis engines, and a semantic engine to autonomously detect and learn electromagnetic environments, identify signals of interest, and provide actionable data without user interaction, optimizing spectrum utilization and application performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional spectrum management methods are used to regulate radio frequencies, then spectrum usage can be controlled, but effective spectrum management becomes difficult and can only be reached over a long period of time due to varying device frequencies, technological standards, and global regulatory differences

Engineering Contradiction:

Improvespectrum management effectivenessVSAvoidtime to achieve effective management

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables autonomous spectrum management where the spectrum management system automatically detects electromagnetic signals, classifies them by type and protocol, identifies available frequencies, and makes allocation decisions without human intervention. This self-service capability resolves the contradiction by making the system both effective and rapid, eliminating the time delay inherent in traditional manual management approaches

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors the electromagnetic spectrum environment, detects signals, analyzes their characteristics, and uses this feedback to dynamically adjust spectrum allocations and manage interference. This closed-loop feedback mechanism enables real-time effective spectrum management, resolving the contradiction between effectiveness and time by making management both reliable and immediate

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If spectrum is allocated to meet growing wireless technology demand, then more services can be supported, but available spectrum becomes a valuable finite resource that requires efficient utilization

Engineering Contradiction:

Improvespectrum support for servicesVSAvoidavailable spectrum

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system implements dynamic spectrum management by continuously detecting the electromagnetic environment, identifying available frequencies in real-time, and allocating spectrum resources adaptively based on current conditions and service requirements. This dynamic approach allows the finite spectrum resource to be efficiently shared among multiple services, resolving the contradiction between supporting diverse services and conserving limited spectrum

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The spectrum management system provides universal functionality by supporting multiple wireless technologies and services simultaneously through automated signal detection, classification, and spectrum allocation. The system can manage various types of electromagnetic signals and allocate frequencies to different services based on their requirements, enabling one finite spectrum resource to serve multiple functions and resolve the contradiction between service versatility and spectrum quantity

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If autonomous detection and learning systems are implemented to optimize spectrum utilization, then spectrum management efficiency is enhanced, but system complexity increases with multiple sensors, data analysis engines, and semantic engines

Engineering Contradiction:

Improvespectrum management efficiencyVSAvoidsystem structure

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system merges multiple functional components including monitoring sensors, data analysis engines, semantic engines with natural language processing capabilities, and spectrum allocation functions into an integrated autonomous spectrum management system. This consolidation achieves high productivity through automated decision-making while managing complexity by combining functions into a unified system architecture that operates cohesively

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS12501270B2System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization

Publication Date: 2025.12.16 DIGITAL GLOBAL SYSTEMS INC

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.