Superblock Formation for Spectrum Asset Visualization
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Solution Overview
Problem
The existing methods for analyzing and visualizing communications data, such as spectrum licensing, channels, and leases across large geographical areas are labor-intensive and cumbersome, requiring extensive mathematical operations to identify overlapping regions and determine ownership, which hinders efficient data processing and analysis.
Innovation Solution
The formation of superblocks by combining overlapping polygon maps allows for the visualization and analysis of spectrum data as a two-dimensional region, enabling the processing of cumulative data within these blocks, and the use of methods like 'covers' to determine control and bandwidth, facilitating efficient data analysis and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual polygon maps are created for each license, channel, and lease, then detailed spectrum data can be mapped, but the complexity of processing and analyzing overlapping polygons increases significantly
Solution Approach 1:
The patent merges multiple overlapping polygon maps into a single integrated map structure. The system combines individual polygon representations of licenses, channels, and leases into a unified map where overlapping regions are automatically identified and processed as integrated units, reducing the complexity of handling multiple separate polygon layers
Solution Approach 2:
The patent creates a universal map structure that handles multiple types of spectrum data (licenses, channels, leases) simultaneously. This multi-functional map can process different data types and overlapping scenarios through a single integrated framework, eliminating the need for separate processing methods for each data type
2Reliability
If manual collection and compilation of spectrum data is performed, then accurate ownership and population information can be gathered, but the time and labor required increase significantly
Solution Approach 1:
The system enables self-service data compilation by automatically collecting, processing, and integrating spectrum data from multiple sources. The automated map processing system performs mathematical operations and data compilation without manual intervention, maintaining accuracy while dramatically reducing the time required for data gathering and integration
Solution Approach 2:
The patent replaces manual mechanical data collection and compilation processes with automated computational methods. The system uses algorithmic processing to perform mathematical operations on polygon maps and integrate spectrum data, substituting human labor with automated computing operations that maintain precision while reducing time requirements
3Measurement precision
If extensive mathematical operations are performed to identify overlapping regions, then accurate spectrum identification is achieved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary mathematical operations during the map creation and integration phases. By pre-processing polygon maps and identifying overlapping regions during the initial mapping stage, the system avoids performing extensive mathematical operations during subsequent analysis phases, thereby improving overall processing efficiency while maintaining identification accuracy
Data Source
AI summary
A method and system are provided for visualizing and analyzing spectrum assets. License, channel, and lease data from a communications authority is collected and formatted into individual polygon maps. The maps could be drawn according to county or state boundaries, or by some other mapping standard. The maps are then divided and redrawn into several market service areas and several basic trading areas. The maps are also divided and redrawn according to the bandwidth spectrum of one or more channels. Since the maps are drawn with several different boundary conditions, the layout of all of the maps result in some maps being partially overlaid onto other maps for the same region. These regions containing partially overlaid maps are redefined as superblocks. Each superblock contains all of the data from each overlaid map portion for that particular region. These superblocks provide a means of displaying or representing a completely mapped region, such as the continental United States in a completely non-overlapping manner. Several methods analyze the newly formed non-overlapping data map for purposes of deriving current assets and forming future marketing strategies.