Electromagnetic Environment Sensing for Real-Time Spectrum Optimization
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Solution Overview
Problem
Effective spectrum management is hindered by the diverse range of wireless devices operating at different frequencies and technological standards, and the growing demand for spectrum exceeds the finite available resources, necessitating improved systems for optimizing spectrum utilization.
Innovation Solution
A system utilizing monitoring sensors, Fast Fourier Transform engines, data analysis engines, and Multi-Access Edge Computing layers to analyze electromagnetic environments, detect signals of interest, and optimize network resources through programmable rules and policy editors, enabling real-time adjustments to enhance spectrum utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spectrum management systems attempt to manage all wireless devices operating at different frequencies and technological standards, then the comprehensiveness of spectrum management improves, but the system complexity increases significantly
Solution Approach 1:
The patent segments the electromagnetic environment monitoring function into distributed sensor units that independently monitor specific frequency bands or geographic areas. Each sensor unit processes and transmits only relevant data to a central system, dividing the complex task of comprehensive spectrum management into manageable modular components that can be independently deployed and maintained.
Solution Approach 2:
The patent introduces a Multi-Access Edge Computing (MEC) layer as an intermediary between raw sensor data and core network management systems. This MEC layer aggregates, filters, and pre-processes electromagnetic environment data from multiple sensors before transmitting to central systems, reducing the complexity burden on both sensor units and core management systems while maintaining comprehensive monitoring capabilities.
2Measurement precision
If the system monitors and analyzes all electromagnetic signals in the environment, then the detection accuracy of signals of interest improves, but the processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by having sensor units continuously monitor and pre-process electromagnetic signals in real-time, maintaining a ready state with pre-analyzed data buffers. When a signal of interest is detected or requested, the system can quickly retrieve and act on pre-processed information rather than starting analysis from scratch, significantly reducing response time while maintaining detection accuracy.
Solution Approach 2:
The patent applies local quality by configuring different sensor units and processing nodes with specialized capabilities tailored to specific frequency bands, signal types, or geographic locations. Each node optimizes its detection and processing algorithms for its specific domain, improving overall detection accuracy across diverse electromagnetic environments while distributing computational load to reduce processing time.
3Productivity
If the system implements real-time reconfiguration of network parameters based on electromagnetic environment analysis, then the network optimization effectiveness improves, but the system complexity and computational requirements increase
Solution Approach 1:
The patent implements dynamics by enabling real-time reconfiguration of network parameters based on continuously analyzed electromagnetic environment data. The system dynamically adjusts spectrum allocation, power levels, and resource assignment in response to detected signals and environmental changes, allowing the network to adapt optimally to varying conditions without requiring complete system redesign.
Solution Approach 2:
The patent establishes feedback loops where the electromagnetic environment monitoring system continuously provides data to network management functions, which then adjust network parameters and resource allocation. This closed-loop feedback mechanism enables automatic optimization of network performance based on real-time environmental conditions, improving productivity while distributing complexity across monitoring and control functions rather than requiring centralized complex processing.
Data Source
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.