Network Capacity Characterization Using DCT Matrices
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Solution Overview
Problem
Current methods fail to effectively characterize the overall communication network capacity in a geographic area, particularly in areas with diverse technologies, making it difficult for network operators to make informed investment decisions and comply with capacity requirements.
Innovation Solution
A system using a weighted average and Discrete Cosine Transform (DCT) of network segment values and technology characteristics to calculate an overall network capacity descriptor, providing a realistic assessment and graphical representation of network communications capacity, enabling precise decision-making and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional individual network segment characterization methods are used, then detailed technology-specific capacity information can be obtained, but the overall geographic area network capacity cannot be effectively characterized
Solution Approach 1:
The patent segments the geographic area into multiple network segments, each characterized by specific technology parameters (copper, HFC, fiber). By dividing the overall network into manageable segments with distinct characteristics, the system can apply appropriate characterization methods to each segment while aggregating results to represent the entire geographic area.
Solution Approach 2:
The patent creates a universal characterization system that handles multiple network technologies (copper DSL, HFC cable, optical fiber) through a common framework. The matrix-based approach with technology-specific parameters allows the same system to characterize diverse network types, making the solution adaptable to various geographic areas with mixed technologies.
2Measurement precision
If comprehensive network capacity assessment is performed across diverse technologies, then accurate geographic area characterization can be achieved, but the complexity of the system increases
Solution Approach 1:
The patent transforms complex network capacity assessment into a standardized matrix format with defined parameters for each technology type. By changing the representation from raw network data to structured matrices with specific parameters (bandwidth, capacity factors, technology weights), the system manages complexity while maintaining comprehensive characterization capability.
Solution Approach 2:
The patent introduces matrix mathematics as an intermediary layer between raw network segment data and overall geographic area characterization. The matrix operations (multiplication, transformation) serve as mediators that systematically process diverse technology parameters into unified capacity metrics, reducing system complexity through mathematical abstraction.
3Measurement precision
If detailed network segment measurements are taken, then accurate capacity data can be obtained, but the time and effort required increases considerably
Solution Approach 1:
The patent performs preliminary characterization of individual network segments offline, storing results in a database. This preliminary action allows the system to prepare capacity data in advance, so that when overall geographic area assessment is needed, pre-characterized segment data can be quickly retrieved and aggregated without performing new detailed measurements.
Solution Approach 2:
The patent creates simplified matrix representations (copies) of complex network segment characteristics. Instead of measuring and analyzing actual network performance in real-time, the system uses copied matrix data that captures essential capacity parameters, enabling rapid assessment without time-consuming direct measurements.
Data Source
AI summary
A system for characterizing network capacity that stores premise addresses of subscribers and weighted values for the corresponding capacity of the network. Geographic areas containing subscribers are displayed and portions or all of them may be selected by a user. The system generates first descriptors for the selected geographic areas. The system generates an average capacity for the premise addresses for the selected geographic areas and the first descriptors are assigned to corresponding elements of a first matrix based on the weighted value for the calculated average capacity for the premise addresses. The system generates a second matrix representing the relationship of all of the premise addresses and their respective capacity in the selected geographic area based on spatial population descriptors. The system further generates a third matrix using mathematical DCT formulas representing the overall capacity of the network in a geographic area.