Dynamic Spectrum Management for Real-Time Network Resource Allocation
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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 for dynamic spectrum utilization management in private wireless networks, incorporating 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, including reconfiguring core network and Multi-Access Edge Computing layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple wireless devices operate at different frequencies and technological standards, then spectrum coverage and device compatibility are improved, but spectrum management complexity increases
Solution Approach 1:
The system segments spectrum management by implementing separate monitoring sensors for different frequency bands and technological standards, with dedicated data analysis engines for each segment. This allows independent management of various wireless devices operating at different frequencies while maintaining overall system coordination through the centralized platform.
Solution Approach 2:
The patent introduces an intermediary spectrum management platform that acts as a mediator between diverse wireless devices and the electromagnetic environment. This platform receives data from multiple monitoring sensors, processes information through data analysis engines, and coordinates spectrum usage across different devices and standards, simplifying the management complexity.
2Productivity
If spectrum demand grows exponentially to meet wireless technology needs, then service capacity and user satisfaction are improved, but spectrum scarcity and resource depletion worsen
Solution Approach 1:
The system implements dynamic spectrum allocation where the available spectrum is not fixed but continuously adjusted based on real-time monitoring and analysis. The learning engine adapts spectrum distribution dynamically to meet growing service capacity demands while efficiently utilizing the finite available spectrum resources through time-varying allocation strategies.
Solution Approach 2:
The patent employs parameter changes by modifying spectrum allocation parameters (frequency bands, bandwidth, power levels) based on learned patterns from the electromagnetic environment. The system adjusts these parameters dynamically to increase service capacity without requiring additional physical spectrum, thereby addressing spectrum scarcity through intelligent parameter optimization.
3Productivity
If real-time monitoring and analysis of electromagnetic environment is implemented, then spectrum utilization efficiency is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and pre-analyzing electromagnetic environment data through dedicated data analysis engines before making spectrum allocation decisions. The learning engine continuously learns from historical data in advance, enabling faster real-time responses without increasing computational complexity during critical decision-making moments.
4Productivity
If automated detection and management of signals is implemented, then operational efficiency and response time are improved, but measurement precision and detection accuracy face challenges due to signal diversity
Solution Approach 1:
The patent implements a universal detection system with multi-functional data analysis engines that can handle diverse signal types, frequencies, and modulation schemes through a single integrated platform. This universal approach maintains measurement precision across different signal types while improving operational efficiency by eliminating the need for separate detection systems for each signal category.
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.


