Electromagnetic Environment Sensing for Adaptive 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 and optimization.
Innovation Solution
A system employing Multi-Access Edge Computing (MEC) layer with monitoring sensors, data analysis engines, and programmable rules to detect signals of interest, learn the electromagnetic environment, and create actionable data for optimizing network resources, including reconfiguring core networks and changing physical layer parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spectrum management systems attempt to accommodate diverse wireless signal propagations across different frequencies and technological standards, then the system's adaptability improves, but the device complexity increases
Solution Approach 1:
The system segments spectrum management into multiple functional modules including signal detection units, classification engines, and resource allocation components. Each module handles specific aspects of spectrum analysis for different wireless standards, allowing the system to manage diversity through modular architecture rather than monolithic complexity
Solution Approach 2:
The patent implements universal spectrum sensing and analysis capabilities that can detect, classify, and manage multiple wireless signal types (WiFi, Bluetooth, cellular, etc.) using a single integrated platform. The system employs multi-functional algorithms that adapt to different modulation schemes and frequency bands, reducing the need for separate dedicated systems for each wireless standard
2Measurement precision
If the system implements comprehensive real-time monitoring and analysis of electromagnetic environment, then the measurement precision improves, but the energy consumption increases
Solution Approach 1:
The system employs selective monitoring strategies where not all frequency bands and signal types are monitored with equal intensity at all times. The monitoring depth and resolution are adjusted based on current network conditions, traffic patterns, and priority levels, allowing high measurement precision for critical signals while reducing processing for less important aspects of the electromagnetic environment
Solution Approach 2:
The implementation uses periodic sampling and analysis rather than continuous full-spectrum monitoring. The system performs comprehensive analysis at scheduled intervals and uses lighter monitoring between periods, with dynamic adjustment of monitoring frequency based on detected signal activity and network conditions, thereby reducing overall energy consumption while maintaining detection accuracy
3Productivity
If dynamic resource allocation and reconfiguration of core networks is implemented, then the productivity improves, but the device complexity increases
Solution Approach 1:
The system implements dynamic resource allocation where spectrum assignments, power levels, and transmission parameters are continuously adjusted based on real-time environmental sensing and network conditions. The core network reconfiguration capabilities allow flexible modification of resource allocation without requiring complex manual intervention for each change, as the system adapts automatically to optimize spectrum utilization
Solution Approach 2:
The patent incorporates feedback mechanisms where monitoring data from the electromagnetic environment is continuously fed back to the resource allocation algorithms. This closed-loop control enables the system to make informed decisions about dynamic resource allocation and network reconfiguration based on actual measured conditions rather than static pre-configuration, improving productivity through data-driven optimization
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.