Electromagnetic Environment Learning for Dynamic Spectrum Allocation
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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 for dynamic spectrum utilization management in a private wireless network, 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
1Productivity
If wireless technologies and applications grow exponentially to meet growing demand, then service capability and user satisfaction improve, but spectrum resource depletion accelerates
Solution Approach 1:
The patent implements dynamic spectrum sharing that allows spectrum resources to be allocated flexibly based on real-time network conditions and service requirements. The system continuously monitors spectrum usage and dynamically adjusts allocation among different wireless technologies (5G, 4G, Wi-Fi, satellite) to maximize utilization efficiency while meeting growing service demand without requiring additional spectrum resources.
Solution Approach 2:
The system changes key parameters including spectrum allocation ratios, priority levels for different services, and sharing policies based on network conditions. By adjusting these parameters dynamically, the system optimizes spectrum utilization to support exponential growth in wireless applications while maintaining efficient use of finite spectrum resources.
2Adaptability or versatility
If multiple wireless signal propagations at different frequencies and technological standards are accommodated, then service diversity increases, but spectrum management complexity increases
Solution Approach 1:
The patent creates a universal spectrum sharing platform that handles multiple wireless technologies (5G, 4G, Wi-Fi, satellite) and different signal propagations through a single integrated system. This multi-functional platform provides common spectrum management capabilities across diverse services, reducing overall management complexity while maintaining high service diversity through standardized interfaces and unified resource allocation mechanisms.
Solution Approach 2:
The system introduces an intermediary spectrum sharing management layer that mediates between various wireless technologies and the physical spectrum resources. This intermediary layer abstracts the complexity of managing multiple frequencies and standards, providing automated coordination and conflict resolution among different services while simplifying the overall management architecture.
3Productivity
If automated detection and learning systems are implemented to optimize network resources, then resource allocation efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the spectrum sharing system automatically detects signal patterns, learns from observed data, and optimizes resource allocation without extensive human intervention. The system performs autonomous monitoring, analysis, and optimization of spectrum resources across multiple technologies, reducing operational complexity while maintaining high allocation efficiency through automated decision-making algorithms.
Solution Approach 2:
The system incorporates continuous feedback loops that monitor spectrum usage patterns, service performance, and network conditions. This feedback mechanism enables the automated detection and learning systems to adaptively optimize resource allocation based on real-time observations, improving efficiency while managing complexity through data-driven automated adjustments rather than complex manual configuration.
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.