Electromagnetic Environment Sensing for Dynamic Spectrum 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 efficient utilization and optimization.
Innovation Solution
A system utilizing monitoring sensors, Multi-Access Edge Computing (MEC) layer, and wireless network resource optimization applications to analyze electromagnetic environments, detect signals of interest, learn the environment, and create actionable data for optimizing network resources by reconfiguring core networks and physical layer parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spectrum management systems attempt to accommodate diverse wireless devices operating at different frequencies and technological standards, then the system's adaptability and versatility improve, but the device complexity and difficulty of detection and measurement increase
Solution Approach 1:
The spectrum management system is designed to handle multiple wireless technologies (5G, Wi-Fi, Bluetooth, IoT) and frequency ranges simultaneously through a unified platform. The system performs diverse functions including spectrum sensing, signal classification, interference detection, and resource allocation across different technological standards, making it universally applicable to various wireless devices and protocols.
Solution Approach 2:
The system employs a hierarchical architecture where multiple layers of analysis and processing are nested within each other. Detection engines are nested within data analysis engines, which are nested within the overall spectrum management platform. This nested structure allows the system to manage complexity by organizing functions in concentric layers, with each layer handling specific aspects of spectrum management.
2Measurement precision
If spectrum management systems monitor and analyze all wireless signals in the electromagnetic environment, then measurement precision and detection accuracy improve, but the loss of time and computational resources increase
Solution Approach 1:
The system extracts and focuses only on signals of interest from the vast electromagnetic environment, rather than analyzing all signals equally. Detection engines are configured to identify and prioritize specific signal types based on predefined criteria, filtering out irrelevant signals and concentrating computational resources on detecting and analyzing only the relevant portions of the spectrum.
Solution Approach 2:
The system performs comprehensive analysis on a subset of signals deemed most critical, rather than attempting to analyze every signal with equal depth. The detection engines apply varying levels of analysis intensity based on signal priority, performing exhaustive analysis on high-priority signals while using faster, less resource-intensive methods for lower-priority signals.
3Productivity
If the system reconfigures core networks and changes physical layer parameters to optimize performance, then productivity and network efficiency improve, but the device complexity and difficulty of operation increase
Solution Approach 1:
The spectrum management system automatically performs network reconfiguration and physical layer parameter optimization without requiring manual intervention. The system self-adjusts spectrum allocation, modifies transmission parameters, and reconfigures network settings based on real-time spectrum conditions and performance metrics, enabling autonomous optimization while maintaining ease of operation.
Solution Approach 2:
The system continuously monitors network performance metrics and spectrum conditions, using this feedback to automatically adjust reconfiguration decisions. The feedback loop allows the system to learn from past optimization outcomes and refine its parameter changes, making the complex reconfiguration process more manageable and effective over time.
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.