Wireless Spectrum Assignment Using High-Fidelity Obstruction Heights
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Solution Overview
Problem
Conventional interference prediction in tiered access wireless networks, such as CBRS, is inaccurate due to the lack of consideration for clutter heights, leading to conservative spectrum access decisions and reduced network capacity.
Innovation Solution
A computing system integrates high-fidelity obstruction height values by combining terrain and clutter information to generate more accurate propagation information, identifying critical points for predicting interference and optimizing spectrum assignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional interference prediction methods are used that do not consider clutter heights, then the system complexity is low, but the measurement precision of interference prediction deteriorates
Solution Approach 1:
The patent combines terrain height data and clutter height data into a unified propagation prediction model. The Spectrum Access System integrates multiple data sources (terrain information from topographic maps and clutter information from imaging data) to create comprehensive obstruction height profiles, thereby improving interference prediction accuracy while managing system complexity through data fusion
Solution Approach 2:
The system performs preliminary acquisition and processing of terrain and clutter height data before spectrum access decisions are made. By pre-processing geographic information and creating obstruction height profiles in advance, the system reduces real-time computational complexity while maintaining high prediction accuracy when evaluating interference potential
2Productivity
If conservative spectrum access decisions are made due to inaccurate interference prediction, then the reliability of spectrum access is improved, but the productivity of spectrum utilization deteriorates
Solution Approach 1:
The system uses accurate propagation prediction based on obstruction heights to provide feedback on actual interference conditions. This enables the Spectrum Access System to make informed spectrum access decisions that balance utilization efficiency with interference protection, avoiding overly conservative restrictions while maintaining reliable spectrum access through continuous monitoring and prediction
Solution Approach 2:
The patent changes the key parameter for spectrum access decisions from generic path loss models to specific obstruction height-based propagation predictions. By using clutter height values and terrain profiles as decision parameters, the system achieves more accurate interference assessment, allowing higher spectrum utilization while maintaining reliability through precise parameter-based evaluation
Data Source
AI summary
Topographic information and clutter information is obtained for a particular geographic area in which two or more wireless network's radio communication entities are located. The topographic information includes terrain height values for points within a particular geographic area. The clutter information includes clutter height values for at least some of the points indicative of a height of clutter located atop terrain within the particular geographic area. A plurality of high-fidelity obstruction height values are determined for sampled points. Each of the sampled points are located between a first network entity and a second network entity. Critical points are identified from the sampled points based on the plurality of high-fidelity obstruction height values. Propagation information indicative of a predicted degree of interference between the two network's entities is generated based on the one or more critical points.