Spectrum Usage Database for Dynamic Cognitive Radio Management
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Solution Overview
Problem
Current systems lack dynamic representations of radio frequency spectrum usage across channels, locations, and times, hindering effective resource utilization and pricing strategies, as they rely on static assignments and fail to capture actual usage patterns.
Innovation Solution
A cognitive radio system with Sensing Stations that employ heterogeneous sampling and monitoring techniques to create a Spectrum Usage Database (SUD), providing granular measurements of occupancy across dimensions of frequency, time, and location, and using modeling approaches to derive usage patterns and pricing structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static spectrum assignments are used, then licensing and resource allocation are simplified, but dynamic actual usage patterns cannot be captured
Solution Approach 1:
The patent transitions from static spectrum assignments to dynamic spectrum usage databases that continuously update based on actual measurements. The SUD captures temporal variations in spectrum usage across different locations and channels, enabling the system to adapt to changing usage patterns while maintaining manageable complexity through structured data organization and sensing station networks.
Solution Approach 2:
The patent implements feedback mechanisms where sensing stations continuously monitor spectrum usage and feed this information back to update the spectrum usage database. This closed-loop system allows dynamic adaptation to actual usage patterns, with the database informing future resource allocation and pricing decisions based on measured occupancy data.
2Measurement precision
If granular sampling across frequency, time, and location is performed, then measurement precision of spectrum usage is improved, but the quantity of data and system complexity increases
Solution Approach 1:
The patent segments the spectrum measurement task across multiple sensing stations distributed geographically, each responsible for specific frequency channels and time periods. This segmentation allows high-resolution measurements to be collected systematically without overwhelming a single system, as data is distributed across multiple stations and can be aggregated into the central spectrum usage database.
Solution Approach 2:
The patent organizes spectrum usage data across four dimensions: frequency, time, location, and occupancy level. This multi-dimensional structure allows precise measurements to be captured while enabling efficient querying and analysis by filtering along specific dimensions, reducing the practical complexity of handling the large quantity of measurement data.
3Area of stationary object
If sensing stations are deployed across wide geographic areas, then coverage area is improved, but the number of stations and system complexity increases
Solution Approach 1:
The patent designs sensing stations as universal units that can operate across multiple frequency channels and report to a centralized database. Each station performs the same core functions (sensing, measuring occupancy, reporting) but can cover different geographic and frequency domains, reducing overall system complexity through standardization while enabling wide geographic coverage through replication.
Data Source
AI summary
Access to data representations of relatively dynamic actual usage and patterns of spectrum usage across channels, geographies (locations), and times can be advantageous in planning for resource utilization, and in structuring pricing for spectrum resources. Actual usage of spectrum resources can vary dynamically. Significant opportunities to advantageously utilize spectrum resources can be identified from relatively dynamic representations of actual usage.