MEC Spectrum Awareness for Real-Time Network Resource Optimization
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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 Multi-Access Edge Computing (MEC) layers with monitoring sensors, data analysis engines, and learning engines to detect signals of interest, learn the electromagnetic environment, and create actionable data for optimizing network resources by reconfiguring core networks and physical layer parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spectrum management systems attempt to accommodate diverse wireless signal propagations across different frequencies and technological standards, then the system's adaptability improves, but the device complexity increases
Solution Approach 1:
The system employs a universal spectrum management platform that can handle multiple wireless signal types, frequencies, and technological standards through a single integrated architecture. This multi-functional approach allows the system to adapt to diverse spectrum requirements without requiring separate specialized systems for each standard, thereby improving adaptability while controlling complexity through consolidation.
Solution Approach 2:
The patent implements a hierarchical spectrum management structure where multiple layers of management functions are nested within each other. The system organizes spectrum management tasks in concentric layers, with general spectrum allocation at higher levels and specific signal coordination at lower levels, allowing complex diverse signal management to be broken down into manageable nested components.
2Measurement precision
If the system implements comprehensive spectrum monitoring and analysis across multiple frequencies and standards, then the measurement precision improves, but the loss of time increases
Solution Approach 1:
The system performs preliminary spectrum analysis by pre-processing and categorizing signals as they are detected. The spectrum management system prepares initial assessments of signal characteristics, frequency allocations, and potential conflicts in advance, so that when complete analysis is required, the foundational work is already done, reducing the time needed for comprehensive measurement while maintaining precision.
Solution Approach 2:
The patent divides the comprehensive spectrum monitoring task into segmented analysis modules that can process different frequency ranges and signal types independently and in parallel. This segmentation allows the system to measure multiple spectrum bands simultaneously rather than sequentially, improving measurement precision across the entire spectrum while reducing total analysis time through concurrent processing.
3Productivity
If the system dynamically reconfigures core networks and physical layer parameters to optimize spectrum utilization, then the productivity improves, but the ease of operation deteriorates
Solution Approach 1:
The spectrum management system implements self-service capabilities that automatically detect spectrum conditions, analyze utilization patterns, and reconfigure network parameters without requiring manual intervention. The system monitors its own performance metrics and autonomously adjusts core network and physical layer settings to optimize spectrum utilization, thereby improving productivity while maintaining ease of operation through automated self-configuration.
Solution Approach 2:
The patent employs dynamic reconfiguration mechanisms that allow the system to adapt network parameters in real-time based on changing spectrum conditions and service requirements. This dynamic approach enables continuous optimization of spectrum utilization efficiency while the system automatically manages the complexity of configuration changes, presenting a simplified interface to operators while performing complex adjustments internally.
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.