MEC Electromagnetic Awareness for Real-Time Spectrum Sharing
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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 electromagnetic environments, and create actionable data for optimizing network resources, including reconfiguring core networks and physical layer parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless technologies and applications grow exponentially to meet growing needs, then service capability and coverage are improved, but spectrum demand increases beyond the finite available resources
Solution Approach 1:
The patent implements dynamic spectrum sharing that allows spectrum resources to be allocated flexibly based on real-time network conditions, application requirements, and device needs. The system continuously monitors spectrum usage and dynamically adjusts allocation to maximize utilization of finite spectrum resources while supporting growing wireless services.
Solution Approach 2:
The system changes spectrum allocation parameters dynamically, adjusting frequency bands, bandwidth, and access conditions based on network state. This includes modifying transmission parameters, power levels, and resource block assignments to optimize spectrum efficiency as service demands evolve.
2Adaptability or versatility
If multiple devices transmit wireless signals at different frequencies and standards, then communication versatility is improved, but spectrum management complexity increases
Solution Approach 1:
The patent creates a universal spectrum management framework that handles multiple wireless standards, frequency bands, and device types through a single integrated system. The MEC-based platform provides unified spectrum sensing, analysis, and allocation capabilities that work across diverse communication technologies without requiring separate management systems for each standard.
Solution Approach 2:
The MEC layer acts as an intermediary between the radio access network and core network, mediating spectrum resource allocation. It introduces a middle layer that coordinates spectrum usage across multiple devices and standards, simplifying management by centralizing decision-making while maintaining compatibility with diverse wireless technologies.
3Productivity
If MEC layer with data analysis and learning engines is implemented, then spectrum utilization efficiency is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the spectrum management system into distinct functional components: MEC layer for edge computing, data analysis engines for processing, and learning engines for optimization. This modular architecture distributes computational tasks across multiple specialized modules, improving spectrum utilization through coordinated operation while managing overall system complexity through clear functional separation.
Solution Approach 2:
The learning engine enables the system to automatically optimize spectrum allocation through machine learning, reducing the need for manual configuration and complex centralized control. The system self-adjusts to changing conditions, learns from historical data, and makes autonomous decisions about resource allocation, thereby improving efficiency while the complexity is encapsulated within the self-managing algorithms.
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.