Network Resource Optimization Using Real-Time Spectrum Analysis
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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 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 signal parameters, 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 diverse wireless devices operate at different frequencies and technological standards, then device compatibility and coverage are improved, but spectrum management complexity increases
Solution Approach 1:
The spectrum management system is designed to handle multiple wireless technologies (5G, Wi-Fi, Bluetooth, etc.) and frequency bands through a single unified platform. The system universally monitors, analyzes, and manages spectrum resources across diverse devices and standards, eliminating the need for separate management systems for each technology.
Solution Approach 2:
The patent implements a hierarchical spectrum management architecture where multiple layers of management functions are nested within each other. The system embeds device-level spectrum usage information within network-level management, which is in turn nested within global spectrum policy frameworks, creating a nested structure that simplifies complex multi-layered management.
2Productivity
If spectrum demand grows exponentially to meet wireless technology needs, then service capacity and user coverage are improved, but spectrum resource depletion accelerates
Solution Approach 1:
The system implements dynamic spectrum allocation that continuously adjusts spectrum resource distribution based on real-time demand conditions. Frequency bands are dynamically assigned and reassigned to different services and devices according to actual usage patterns, enabling the system to adapt to exponentially growing demand without requiring proportional increases in total spectrum resources.
Solution Approach 2:
The patent employs spectrum aggregation techniques that change the parameter of frequency resource organization by combining multiple smaller frequency bands into larger aggregated channels. This parameter transformation allows the system to create sufficient capacity from limited available spectrum resources to meet growing service demands.
3Productivity
If real-time spectrum analysis and optimization are implemented, then spectrum utilization efficiency is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary spectrum analysis and prediction using machine learning models that pre-process and interpret spectrum data in advance. By predicting future spectrum usage patterns and potential conflicts before they occur, the system can proactively optimize allocations without requiring complex real-time intervention for every change.
Solution Approach 2:
The patent implements continuous feedback loops where spectrum usage measurements are constantly monitored, analyzed, and used to adjust allocation decisions. The system feeds performance data back into the optimization algorithms, enabling automatic adaptation and improvement of spectrum utilization efficiency without manual intervention or increased complexity.
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.