Dynamic Spectrum Sharing With Real-Time RF Environment Awareness
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Solution Overview
Problem
Existing spectrum management systems face challenges in efficiently managing the finite electromagnetic spectrum due to diverse wireless devices and technologies, dynamic application needs, and varying global regulations, leading to inefficiencies and interference.
Innovation Solution
A system for dynamic, prioritized spectrum utilization management that includes monitoring sensors, data analysis engines, and a semantic engine to detect, classify, and learn electromagnetic environments, providing actionable data for optimized spectrum allocation and interference minimization using machine learning and edge analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional static spectrum allocation methods are used, then regulatory compliance is maintained, but spectrum utilization efficiency deteriorates due to finite spectrum resources and exponentially growing wireless demand
Solution Approach 1:
The patent implements dynamic spectrum sharing that allows spectrum resources to be allocated and reallocated in real-time based on actual usage patterns and service requirements. The system continuously monitors spectrum utilization and dynamically adjusts allocations between different wireless services and technologies, transforming the static allocation model into a flexible dynamic system that maximizes spectrum efficiency.
Solution Approach 2:
The system changes key parameters including allocation timeframes, frequency bands, and power levels based on real-time conditions. By adjusting these parameters dynamically according to traffic demand and interference levels, the system optimizes spectrum utilization while maintaining compliance with regulatory requirements.
2Adaptability or versatility
If diverse wireless devices and technologies operate simultaneously, then service variety increases, but spectrum management complexity worsens due to different technological standards and geographical regulations
Solution Approach 1:
The patent creates a universal spectrum management platform that handles multiple wireless technologies, services, and regulatory frameworks through a single integrated system. This multi-functional platform can manage diverse devices and standards simultaneously while maintaining compliance with various geographical regulations, reducing overall management complexity.
Solution Approach 2:
The system introduces an intermediary spectrum management layer that mediates between diverse wireless devices/technologies and the regulatory framework. This intermediary handles the complexity of coordinating different standards and regulations, allowing diverse services to operate simultaneously without direct conflicts.
3Productivity
If real-time spectrum monitoring and dynamic allocation are implemented, then spectrum efficiency improves, but system complexity and computational requirements worsen
Solution Approach 1:
The system performs preliminary actions by pre-configuring spectrum allocation policies, thresholds, and parameters before real-time operation. This preparation reduces the computational burden during real-time monitoring and allocation, as the system only needs to evaluate pre-defined criteria rather than making complex decisions from scratch.
Solution Approach 2:
The patent segments the spectrum management system into modular components including monitoring modules, analysis modules, and allocation modules. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while maintaining real-time capabilities for efficient spectrum management.
Data Source
AI summary
Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.