MEC Network Resource Optimization Through Signal Detection
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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 employing Multi-Access Edge Computing (MEC) layers with data analysis engines and programmable rules to optimize network resources by detecting signals of interest, learning the electromagnetic environment, and creating actionable data for dynamic spectrum utilization management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple wireless devices operate at different frequencies and technological standards, then device diversity and service coverage are improved, but spectrum management complexity increases
Solution Approach 1:
The system segments spectrum management by implementing separate detection engines for different signal types (wireless communication signals, electromagnetic leakage signals, radar signals) and organizing them into structured data formats with specific field types for each signal category, allowing independent processing and management of diverse wireless devices
Solution Approach 2:
The patent introduces an intermediary processing layer that receives raw signal data, processes it through appropriate detection engines based on signal type, and transforms it into standardized actionable data with uniform field structures, thereby simplifying the management complexity while maintaining support for diverse devices
2Productivity
If spectrum demand grows exponentially to meet wireless technology needs, then service capacity and application performance are improved, but available spectrum resources are depleted
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring the electromagnetic environment, detecting signal opportunities, and dynamically allocating spectrum resources based on real-time conditions, allowing efficient utilization of available spectrum while preventing resource depletion through adaptive management
Solution Approach 2:
The patent employs preliminary action by proactively detecting and identifying spectrum opportunities before they are needed, learning from environmental patterns to predict available resources, and preparing allocation decisions in advance to maximize service capacity without exceeding available spectrum
3Productivity
If real-time spectrum optimization is implemented to enhance resource allocation, then network efficiency is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system segments real-time optimization into modular detection engines tailored to specific signal types, with each engine handling particular aspects of spectrum analysis independently, reducing overall system complexity while maintaining real-time network efficiency through specialized processing
Solution Approach 2:
The patent applies partial action by implementing detection and optimization only for identified signal opportunities rather than continuously processing all spectrum bands, thereby achieving real-time network efficiency improvements with reduced processing requirements and lower system 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.