Scalable Data Processing Segmentation for Receiver Adaptation
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Solution Overview
Problem
Current communication systems face inefficiencies in transmitting scalable data, as they require adaptation and forwarding of supplementary information to ensure optimal quality at receivers, which can be resource-intensive and complex, especially in radio communication systems.
Innovation Solution
The method involves separating basic and supplementary information into distinct datasets, with the second dataset containing metadata for the position and conversion of elements, allowing for flexible reordering and transmission based on receiver capabilities and network conditions, enabling efficient scalable data processing and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If scalable data is transmitted with adaptation and forwarding of supplementary information to ensure optimal quality at receivers, then receiver quality requirements are met, but resource consumption and system complexity increase
Solution Approach 1:
The patent segments scalable data into basic information and supplementary information stored in separate datasets. Basic information is transmitted to all receivers, while supplementary information is selectively forwarded only to receivers that require enhanced quality. This segmentation eliminates the need for complex adaptation and forwarding operations, reducing system complexity while maintaining the ability to meet diverse receiver quality requirements.
2Manufacturing precision
If scalable data is transmitted with adaptation and forwarding of supplementary information to ensure optimal quality at receivers, then receiver quality requirements are met, but resource consumption increases
Solution Approach 1:
By separating basic and supplementary information into distinct datasets, the system transmits only necessary data to each receiver. Receivers get basic information universally, and supplementary information is forwarded selectively based on receiver capabilities and network conditions, optimizing resource usage and reducing unnecessary transmission energy consumption.
Solution Approach 2:
The patent applies local quality by providing different quality levels of supplementary information to different receivers based on their specific requirements. Each receiver receives only the supplementary information needed for its quality level, avoiding wasteful transmission of unnecessary data and optimizing resource consumption across the network.
3Reliability
If basic information and supplementary information are transmitted together in mixed order, then data integrity is maintained, but flexible adaptation to receiver capabilities is reduced
Solution Approach 1:
The patent divides data into separate datasets for basic and supplementary information, each with its own ordering. This allows the receiver to reliably process basic information first, then selectively process supplementary information based on its capabilities and network conditions, achieving both data integrity and flexible adaptation.
Solution Approach 2:
The patent enables dynamic adaptation by allowing receivers to process basic information universally and then selectively access supplementary information based on their capabilities and current network conditions. The separate ordering of datasets provides the flexibility needed for dynamic quality adaptation while maintaining reliable data integrity through structured separation.
Data Source
AI summary
The following are saved as a first dataset in a first order: basic information and a plurality of elements containing information during the decoding process. Details about the position of the elements in the first dataset are saved as a second dataset. Information about the conversion of the order of the elements from the first order into a second order is also available.