Network Resource Optimization Through Electromagnetic Environment Monitoring
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Solution Overview
Problem
Effective spectrum management is hindered by the diverse nature of wireless signal propagations across different frequencies and technological standards, and the growing demand for spectrum exceeds the finite available resources, necessitating efficient 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, identify signals of interest, and optimize network resources through programmable rules and policy editors, enabling real-time reconfiguration of network parameters and device settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spectrum management systems attempt to manage diverse wireless signal propagations across different frequencies and technological standards, then the ability to detect and manage multiple devices is improved, but the system complexity and difficulty of effective management increases
Solution Approach 1:
The spectrum management system is designed to universally detect, analyze, and manage multiple types of wireless signals across different frequencies and technological standards through a single integrated platform. The system performs multiple functions including signal detection, classification, frequency analysis, and resource allocation within one system architecture, enabling it to handle diverse wireless communications without requiring separate specialized systems for each standard.
Solution Approach 2:
The system introduces intermediary components including signal processing modules, data analysis engines, and transformation layers that mediate between raw wireless signals and management decisions. These intermediaries transform diverse signal formats into standardized data structures, enabling uniform processing and management of different wireless technologies while isolating the complexity of individual standards from the core management logic.
2Quantity of substance
If the available spectrum resources are increased to meet growing wireless technology demands, then the capacity to support more devices and applications is improved, but the finite nature of spectrum resources makes this impossible
Solution Approach 1:
The spectrum management system implements dynamic resource allocation where spectrum assignments are not fixed but continuously adjusted based on real-time detection of signal usage patterns, device demands, and environmental conditions. The system can dynamically reassign frequency bands, adjust power levels, and modify transmission parameters to optimize spectrum utilization, allowing the same finite spectrum resources to serve varying numbers of devices and applications according to actual needs rather than static allocations.
Solution Approach 2:
The system optimizes spectrum capacity by changing multiple parameters including frequency band selections, modulation schemes, power transmission levels, and time-division multiplexing configurations. By adjusting these parameters based on detected signal characteristics and network conditions, the system extracts maximum capacity from available spectrum resources, enabling more devices and applications to be supported without requiring additional physical spectrum.
3Productivity
If real-time spectrum analysis and optimization is implemented, then network resource efficiency is improved, but the computational requirements and system complexity increase
Solution Approach 1:
The spectrum management system is segmented into multiple specialized modules including signal detection components, Fast Fourier Transform engines for frequency analysis, data classification engines, and optimization algorithms. Each segment handles specific aspects of spectrum analysis independently, allowing parallel processing and reducing the computational burden on any single component. This modular segmentation enables real-time analysis by distributing computational tasks across multiple specialized units rather than requiring one monolithic complex system.
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.