Composable EM Attenuation Tile Caching for Path Loss Prediction
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Solution Overview
Problem
Accurate electromagnetic propagation modeling requires extensive data on terrain and impediments, which is often constrained by bandwidth, storage, and proprietary issues, making it impractical for third parties to perform detailed analysis without revealing sensitive data or algorithms.
Innovation Solution
The method involves dividing a geographical area into tiles, determining composable EM attenuation values for each tile using EM impediment data, and caching these values to calculate total non-free-space EM attenuation between points without revealing underlying data or algorithms, allowing for rapid and inexpensive computation of EM path loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive EM impediment data and algorithms are used for accurate propagation modeling, then measurement precision is improved, but device complexity and data storage requirements increase
Solution Approach 1:
The geographical area is divided into multiple tiles, each with pre-calculated composable EM attenuation values. This segmentation allows the system to break down complex propagation modeling into manageable segments, reducing the computational burden while maintaining accuracy through composition of individual tile values.
Solution Approach 2:
EM attenuation values are pre-calculated and stored for each tile before actual propagation modeling requests. This preliminary action eliminates the need for real-time computation of extensive impediment data, reducing device complexity and data processing requirements during actual use while preserving measurement precision.
2Productivity
If detailed EM impediment data is shared with third parties, then productivity is improved, but data security and proprietary protection deteriorate
Solution Approach 1:
The patent extracts only the essential EM attenuation values from the complete impediment data and algorithms, providing these extracted values to third parties for propagation analysis. This allows productivity improvement through data sharing while protecting the underlying sensitive impediment data and proprietary algorithms from exposure.
Solution Approach 2:
The system acts as an intermediary that processes EM propagation requests by combining pre-calculated tile attenuation values without requiring third parties to access the underlying impediment data. This mediator approach enables productive collaboration while maintaining data security and proprietary protection.
3Measurement precision
If real-time EM propagation calculations are performed using full impediment data, then measurement precision is improved, but loss of time increases
Solution Approach 1:
EM attenuation values for each tile are pre-calculated and stored in advance, eliminating the need for real-time computation of complex propagation models. This preliminary action maintains measurement precision through accurate pre-computed values while dramatically reducing computation time during actual propagation analysis.
Solution Approach 2:
By segmenting the geographical area into tiles with pre-calculated attenuation values, the system enables rapid composition of total path loss without performing real-time calculations on the full impediment data set, thus reducing loss of time while maintaining measurement precision.
Data Source
AI summary
A method for encapsulating electromagnetic propagation model features to create composable prediction models includes obtaining electromagnetic (EM) impediment data for a geographical area. The method also includes dividing the geographical area into a plurality of tiles. Each tile of the plurality of tiles includes a geometric shape that encompasses a distinct non-overlapping portion of the geographical area. For each tile of the plurality of tiles, the method also includes determining one or more composable EM attenuation values for EM signals propagating through the distinct non-overlapping portion of the geographical area encompassed by the tile using the EM impediment data and caching the one or more composable EM attenuation values determined for the corresponding tile.