MEC-Based Dynamic Spectrum Management for Network Resource Optimization
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Solution Overview
Problem
The challenge in effective spectrum management is the diverse range of wireless devices operating at different frequencies and technological standards, coupled with varying global regulations, leading to inefficient utilization of a finite spectrum resource, exacerbated by the growing demand for wireless technologies.
Innovation Solution
A system for dynamic spectrum utilization management utilizing a Multi-Access Edge Computing (MEC) layer, incorporating a monitoring sensor, Fast Fourier Transform (FFT) engine, data analysis engine, and a wireless network resource optimization application to identify and optimize network resources by detecting signals of interest and learning the electromagnetic environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional spectrum management methods are used to regulate wireless devices, then regulatory compliance is maintained, but spectrum utilization efficiency deteriorates due to the diverse range of devices operating at different frequencies and technological standards
Solution Approach 1:
The patent implements dynamic spectrum management that adapts to changing electromagnetic environments in real-time. The system continuously monitors spectrum usage, detects signals of interest, and dynamically adjusts resource allocation based on learned patterns and current conditions, allowing efficient coexistence of diverse wireless devices while maintaining regulatory compliance through adaptive rather than static management
Solution Approach 2:
The system changes multiple parameters simultaneously including frequency selection, power levels, modulation schemes, and resource block allocation. By dynamically adjusting these parameters based on environmental awareness and machine learning insights, the system optimizes spectrum utilization across different technological standards and frequency bands while ensuring compliant operation
2Adaptability or versatility
If more wireless devices and services are deployed to meet growing demand, then service coverage and accessibility improve, but spectrum resource scarcity worsens due to the finite amount of available spectrum
Solution Approach 1:
The patent segments the finite spectrum resource into multiple virtual channels and resource blocks that can be dynamically allocated. By dividing the spectrum into manageable segments and assigning them to different devices and services based on demand and priority, the system supports diverse wireless technologies and services simultaneously while efficiently utilizing the limited available spectrum
Solution Approach 2:
The system creates a universal spectrum management platform that handles multiple wireless technologies, frequency bands, and service types through a single integrated framework. This multi-functional approach allows diverse devices and services to share the finite spectrum resource efficiently, expanding service coverage without proportionally increasing spectrum consumption
3Productivity
If real-time spectrum monitoring and analysis are implemented to optimize network resources, then spectrum utilization efficiency improves, but system complexity increases due to the need for multiple components including sensors, FFT engines, and data analysis engines
Solution Approach 1:
The patent merges multiple previously separate functions into an integrated spectrum management system. The monitoring sensor, FFT engine, signal detection engine, and machine learning components are combined into a unified platform that processes spectrum data end-to-end, reducing the complexity that would arise from coordinating multiple independent systems while maintaining real-time optimization capabilities
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enables efficient management and optimization of network resources by identifying available frequencies, signal protocols, and data types, prioritizing applications, and optimizing performance in real-time, thereby enhancing spectrum utilization.
Implementation Method 1
performing a Fast Fourier Transform (FFT) on the measured data using an FFT engine to create frequency domain information
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.