RF Link Aggregation Availability Prediction
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Solution Overview
Problem
Communications system planners face challenges in estimating the availability and downtime of aggregated fixed RF communications links, which are affected by factors like multipath, attenuation by rain, and equipment failures, requiring efficient methods to determine link availability factors for reliable data transmission.
Innovation Solution
A method is developed to receive link information for aggregated links, including data on capacities and availability factors, and generate availability data by determining partially correlated availability factors, accounting for multipath, rain attenuation, and equipment failures, to predict uptime and downtime, facilitating more accurate estimation of link availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple RF links are aggregated to provide higher data capacities, then data transmission capacity is improved, but determining link availability becomes more complex and less reliable
Solution Approach 1:
The patent segments the availability determination process into distinct components: receiving link information for each individual link, identifying specific availability factors (multipath, rain attenuation, equipment failure) for each link, and then combining these segmented assessments to determine overall aggregated link availability. This segmentation allows complex multi-link availability analysis to be broken down into manageable per-link assessments.
Solution Approach 2:
The patent introduces a new dimension of analysis by categorizing availability factors into distinct types (multipath, rain attenuation, equipment failure) and assessing their partial correlations separately. This dimensional approach transforms the complex availability problem into multiple manageable assessment dimensions that can be independently analyzed and then integrated.
2Productivity
If traditional methods are used to estimate availability of aggregated links, then calculation is simpler, but accuracy and reliability of availability estimation deteriorates
Solution Approach 1:
The patent implements a feedback mechanism by receiving link information that includes availability factors for each individual link, using this feedback to adjust and refine the overall availability assessment of the aggregated links. This feedback-driven approach ensures that the availability estimation accurately reflects the actual conditions of each component link.
Solution Approach 2:
The patent changes the parameters of availability assessment by introducing partial correlation factors for different availability factors (multipath, rain attenuation, equipment failure). Instead of using a single aggregate availability metric, the system adjusts multiple parameters to reflect the nuanced relationships between different failure modes and environmental factors across aggregated links.
Data Source
AI summary
A method is provided. The method comprises receiving link information for each link of aggregated links, where the received link information comprises data for each link including at least one capacity, and corresponding availability due to one or more link availability factors; and generating availability data for each capacity of the aggregated links.