Dynamic Spectrum Allocation for Interference-Aware Wireless Sharing
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Solution Overview
Problem
Existing spectrum management systems face challenges in 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 accommodating 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 electromagnetic spectrum based on customer-defined rules and policies, optimizing resource allocation for customer applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional spectrum management systems are used to regulate radio frequencies, then spectrum usage can be controlled, but the system cannot efficiently accommodate diverse devices operating at different frequencies and technological standards
Solution Approach 1:
The patent implements dynamic spectrum management where the system continuously monitors electromagnetic signals, automatically detects signal characteristics, and adapts spectrum allocation in real-time based on current usage patterns and interference levels, rather than using static pre-assigned frequency bands
Solution Approach 2:
The system employs automated signal detection, classification, and spectrum allocation algorithms that operate autonomously without manual intervention, enabling the spectrum management system to self-regulate and optimize resource distribution across diverse devices and technologies
2Productivity
If spectrum is allocated to accommodate growing wireless demand, then more devices can be supported, but the finite amount of available spectrum becomes insufficient
Solution Approach 1:
The system changes spectral parameters dynamically by adjusting frequency allocation, bandwidth assignment, and power distribution based on real-time detection of signal occupancy and interference patterns, maximizing the utility of limited spectrum resources
Solution Approach 2:
The patent segments the electromagnetic spectrum into multiple controllable bands and sub-bands, allowing fine-grained allocation and sharing of spectrum resources among different devices and applications, thereby increasing overall utilization efficiency
3Reliability
If manual spectrum management is used to regulate frequency usage, then control can be maintained, but effective management becomes difficult over long periods
Solution Approach 1:
The system continuously monitors the electromagnetic environment, detects signal characteristics, and uses this feedback information to automatically adjust spectrum allocation decisions, creating a closed-loop control system that responds rapidly to changing conditions
Solution Approach 2:
The patent replaces manual mechanical spectrum management processes with automated electronic detection and control systems that use algorithms to analyze electromagnetic signals and make real-time allocation decisions, eliminating delays associated with human intervention
4Productivity
If spectrum is shared among multiple devices and standards, then resource efficiency improves, but interference between signals increases
Solution Approach 1:
The system applies different spectrum allocation strategies and interference mitigation techniques to different spatial locations, frequency bands, and device types, optimizing performance for each local context while managing overall spectrum sharing
Solution Approach 2:
The patent introduces an automated spectrum management system that acts as an intermediary between multiple devices and the electromagnetic spectrum, coordinating signal assignments and power levels to minimize interference while enabling efficient resource sharing
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.


