Dynamic Spectrum Allocation for Real-Time Interference-Aware Sharing
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Solution Overview
Problem
Existing spectrum management systems struggle with efficiently managing the finite wireless communications spectrum due to diverse devices operating at different frequencies and technological standards, leading to difficulties in optimizing spectrum usage and meeting growing demand.
Innovation Solution
A system for dynamic, prioritized spectrum utilization management that includes monitoring sensors, data analysis engines, and a semantic engine to detect, learn, and allocate frequency bands based on customer-defined rules and policies, optimizing resource allocation for customer applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional spectrum management systems are used to regulate radio frequencies, then spectrum usage can be controlled, but efficiency is reduced and optimization cannot be achieved in real-time due to diverse devices and technological standards
Solution Approach 1:
The patent implements dynamic spectrum management where the system continuously adapts spectrum allocation based on real-time conditions. The semantic engine dynamically adjusts frequency band assignments, power levels, and transmission parameters according to changing environmental conditions, device requirements, and spectrum usage patterns, enabling real-time optimization without manual intervention
Solution Approach 2:
The system employs self-organizing capabilities where devices automatically negotiate and coordinate their spectrum usage through the semantic engine. The system autonomously detects interference, identifies optimal frequency bands, and adjusts parameters without external control, allowing the network to self-optimize spectrum utilization while managing complexity internally
2Adaptability or versatility
If the electromagnetic spectrum is shared among diverse devices and applications, then spectrum demand is met, but interference increases and performance degradation occurs
Solution Approach 1:
The patent applies local quality by assigning different spectrum characteristics to different spatial locations, device types, and application requirements. The semantic engine analyzes local conditions and tailors frequency band assignments, power levels, and modulation schemes to specific devices and environments, allowing diverse coexistence while minimizing cross-device interference through localized optimization
Solution Approach 2:
The semantic engine acts as an intermediary layer between diverse devices and the physical spectrum. It translates device requirements into appropriate spectrum usage patterns, coordinates transmissions to avoid conflicts, and mediates resource allocation among competing applications, enabling versatile spectrum sharing while preventing harmful interference through intelligent arbitration
3Productivity
If real-time spectrum allocation is implemented to optimize application performance, then productivity improves, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the spectrum management function into distributed components across multiple devices and a centralized semantic engine. Each device performs local spectrum sensing and basic parameter adjustments, while the semantic engine handles higher-level coordination and optimization. This segmentation distributes computational complexity, enabling real-time performance optimization without overloading any single device
Solution Approach 2:
The system performs preliminary actions by pre-configuring spectrum allocation policies, device profiles, and application requirements in the semantic engine. These pre-established parameters enable faster real-time decision-making, as the system only needs to match current conditions against predefined optimization strategies rather than computing all parameters from scratch, reducing processing complexity while maintaining high application performance
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.