Dynamic Prioritized Spectrum Management for Interference Control
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Solution Overview
Problem
Existing spectrum management systems struggle with efficiently managing the finite wireless communications spectrum due to varying device frequencies, technological standards, and growing demand, leading to inefficiencies and interference, particularly in dynamic and diverse applications like 5G and IoT.
Innovation Solution
A system comprising monitoring sensors, data analysis engines, a semantic engine with programmable rules and policy editor, and a tip and cue server, which automatically detect signals of interest, learn the electromagnetic environment, and dynamically allocate frequency bands based on customer-defined priorities and policies to optimize resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional spectrum management methods are used to regulate radio frequencies, then spectrum usage can be managed over time, but effective spectrum management becomes difficult to obtain due to varying device frequencies, technological standards, and growing demand
Solution Approach 1:
The patent implements dynamic spectrum management where the system continuously monitors the electromagnetic environment, detects signals of interest, and reallocates frequency bands in real-time based on current conditions rather than static allocations. This allows the system to adapt to varying device frequencies and technological standards dynamically, resolving the contradiction between management effectiveness and adaptability.
Solution Approach 2:
The system employs feedback mechanisms through monitoring sensors that continuously detect the electromagnetic environment and provide data to the data analysis engine. This feedback loop enables the system to adjust spectrum allocations based on actual usage patterns, interference levels, and emerging technological standards, thereby improving both management effectiveness and adaptability simultaneously.
2Productivity
If spectrum is allocated to meet growing demand from wireless technologies and applications, then available spectrum becomes more utilized, but interference increases due to the finite amount of spectrum available
Solution Approach 1:
The patent applies local quality by allowing different frequency bands to be allocated to different devices or applications based on their specific needs and characteristics. The system identifies signals of interest and allocates spectrum locally to specific devices or technologies rather than using uniform allocation, thereby increasing utilization efficiency while minimizing interference between different devices operating in different frequency regions.
Solution Approach 2:
The system segments the finite spectrum into multiple frequency bands and allocates them dynamically to different wireless technologies and applications. By dividing the spectrum into manageable segments and assigning them based on real-time conditions, the system maximizes overall utilization while reducing interference through spatial and frequency separation of different devices.
3Reliability
If manual spectrum management approaches are used to handle various regulations and device frequencies, then regulatory compliance can be achieved, but the complexity of managing diverse applications like 5G and IoT increases
Solution Approach 1:
The patent implements self-service through automated detection and allocation systems that autonomously identify signals of interest, analyze electromagnetic environment data, and allocate frequency bands without manual intervention. The system automatically complies with regulations by incorporating rule engines that enforce regulatory requirements, thereby maintaining reliability while reducing the operational complexity of managing diverse applications like 5G and IoT.
Solution Approach 2:
The system employs a universal platform that can manage multiple wireless technologies and applications (5G, IoT, and others) through a single integrated architecture. The data analysis engine and allocation mechanisms are designed to handle diverse device frequencies and technological standards uniformly, reducing complexity while maintaining regulatory compliance across different applications.
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.


