RF Spectrum Awareness for Dynamic Network Resource Allocation

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Solution Overview

Problem

The challenge in effective spectrum management is the varying devices emitting wireless signals at different frequencies and technological standards, coupled with growing demand for spectrum despite finite availability, making efficient utilization difficult.

Innovation Solution

A system comprising at least one sensor unit and an RF analysis engine on a single chip or circuit board provides real-time dynamic spectrum management by analyzing RF data to optimize network resources through a Multi-Access Edge Computing (MEC) layer, creating actionable data for network optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple devices transmit wireless signals at different frequencies and standards, then spectrum utilization increases, but spectrum management complexity and interference increase

Engineering Contradiction:
Improvespectrum utilizationVSAvoidspectrum management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments the electromagnetic spectrum into multiple frequency bands and assigns different transmission standards to different segments. The spectrum manager divides available spectrum resources into allocable blocks, allowing simultaneous operation of multiple devices with different standards while preventing interference through frequency division and spatial separation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The spectrum allocation system dynamically adjusts frequency assignments and transmission parameters in real-time based on current spectrum usage conditions, device requirements, and interference levels. The spectrum manager continuously monitors the electromagnetic environment and reconfigures allocations to optimize utilization while managing complexity through adaptive control.

Inventive Principle:
Principle #15Dynamics

2Reliability

If spectrum allocation is optimized for specific applications, then application performance improves, but system adaptability to varying conditions decreases

Engineering Contradiction:
Improveapplication performanceVSAvoidsystem adaptability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system pre-configures multiple spectrum allocation profiles optimized for different application types (e.g., broadband data, voice communication, IoT). These pre-defined profiles enable rapid deployment and consistent performance for known applications. The spectrum manager can select appropriate profiles based on detected usage patterns while maintaining the ability to create custom allocations when needed.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The spectrum allocation system dynamically modifies transmission parameters such as frequency, bandwidth, power level, and modulation scheme based on real-time conditions and application requirements. This allows the system to maintain optimized performance for specific applications while adapting to varying environmental conditions, device capabilities, and interference scenarios through continuous parameter adjustment.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12581316B2System, method, and apparatus for providing optimized network resources
Publication Date: 2026.03.17 DIGITAL GLOBAL SYSTEMS INC
  • US12581316B2 patent drawing
  • US12581316B2 patent drawing
  • US12581316B2 patent drawing

AI summary

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.