Prioritized Spectrum Coordination Using Tip-and-Cue Signal Geolocation
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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 tip and cue server to automatically detect, learn, and geolocate signals of interest, providing actionable data for optimizing spectrum use and minimizing interference.
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 managed over time, 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 spectrum usage and automatically adjusts allocations in real-time based on current conditions. The spectrum management system transitions from static, pre-configured regulations to dynamic, adaptive control that responds to changing device densities and spectrum utilization patterns, enabling the system to accommodate diverse devices without manual reconfiguration.
Solution Approach 2:
The system incorporates continuous feedback loops where spectrum usage data from diverse devices is collected, analyzed, and used to automatically adjust management decisions. Sensors and monitoring components provide real-time feedback on spectrum occupancy, interference levels, and device performance, enabling the management system to adapt its regulations dynamically based on actual conditions rather than relying on fixed, predetermined rules.
2Productivity
If more spectrum is allocated to accommodate growing wireless demand, then more devices can be supported, but the finite amount of available spectrum becomes depleted
Solution Approach 1:
The system implements opportunistic spectrum access where devices are allocated spectrum resources dynamically based on real-time availability and demand. Instead of guaranteeing fixed spectrum allocations, the system provides partial access to devices that can tolerate intermittent connectivity, allowing more devices to share the finite spectrum resource. This approach enables超额 utilization of available spectrum by allowing devices to access spectrum when it is temporarily available, thereby supporting more devices without requiring additional spectrum bands.
Solution Approach 2:
The patent employs spectrum aggregation and bandwidth adjustment techniques where the system dynamically changes spectrum parameters such as bandwidth allocation, frequency selection, and modulation schemes based on current utilization conditions. By adjusting these parameters in real-time, the system maximizes the information-carrying capacity of the finite spectrum resource, effectively increasing productivity without requiring additional physical spectrum.
3Productivity
If dynamic spectrum sharing is implemented to optimize spectrum usage, then spectrum efficiency improves, but interference management becomes more difficult
Solution Approach 1:
The patent introduces intermediary components such as spectrum brokers, coordination entities, and intelligent algorithms that mediate between competing devices for spectrum access. These intermediaries analyze spectrum requests, predict potential interference scenarios, and coordinate allocations to minimize harmful interactions. By inserting these mediating layers between devices and the spectrum resource, the system enables dynamic sharing while maintaining interference control through centralized or distributed coordination mechanisms.
Solution Approach 2:
The system implements predictive spectrum management where interference potential is assessed and mitigated before actual spectrum allocations are made. Machine learning models and historical data analysis predict future interference scenarios, allowing the system to pre-configure spectrum allocations that avoid problematic interactions. This preliminary action approach enables dynamic spectrum sharing by proactively identifying and preventing interference issues before they occur, rather than reacting to interference after it has impacted device 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.