Adaptive Erasure Data Error Correction for Mobile Wireless
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Solution Overview
Problem
High cost and power consumption in mobile wireless devices due to complex error correction technologies that require large memory and computational resources for improved reception quality.
Innovation Solution
A device and method that uses a receiver, decapsulator, decoder, and user interface to create and process datagrams with erasure attributes, storing them in frame and erasure tables to maximize correctable errors, reducing memory and computational needs while improving signal reception and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex error correction technologies are used to improve reception quality, then reception quality is improved, but memory requirements and computational resources increase
Solution Approach 1:
The patent segments the error correction process into distinct functional modules: a decapsulator that creates datagrams and erasure attributes, a decoder that stores datagrams in a frame table and processes them, and a rendering module. This segmentation allows each component to handle specific tasks efficiently, reducing overall system complexity while maintaining error correction effectiveness.
Solution Approach 2:
The patent applies preliminary action by pre-organizing received data into datagrams with associated erasure attributes before decoding. The frame table is pre-structured to accommodate codewords, and erasure attributes are assigned in advance to mark potentially erroneous data. This preliminary organization simplifies the subsequent decoding process and reduces computational requirements during actual error correction.
2Reliability
If complex error correction technologies are used to improve reception quality, then reception quality is improved, but power consumption increases
Solution Approach 1:
The patent extracts and separates error correction functionality from the main processing pipeline into dedicated components (decapsulator, decoder with frame table, erasure attribute management). This extraction allows the system to perform error correction operations independently and efficiently, reducing the computational burden on the main processor and thereby lowering overall power consumption while maintaining reception quality.
3Reliability
If sophisticated processing algorithms operating on large input data are used, then reception quality is improved, but memory requirements increase
Solution Approach 1:
The patent transforms the error correction approach by organizing data in a two-dimensional frame table structure with rows and columns, rather than processing large flat arrays. Datagrams are stored in columns and processed row-by-row to create codewords. This dimensional transformation allows efficient processing of large datasets with reduced memory footprint, as the frame table structure enables incremental processing and eliminates the need to load entire datasets into memory simultaneously.
Data Source
Figure 1~2A
Figure 2B
Figure 3A~3C
AI summary
A receiver (120) is configured to receive data over a communications link. A decapsulator (122) is coupled to the receiver and configured to create datagrams and erasure attributes associated with the datagrams. A decoder (124) is coupled to the decapsulator and configured to store the datagrams in a frame table and track the progression thereof to create codewords, the decoder storing the datagrams in table columns to create codewords in table rows, and configured to store the erasure atttributes in an erasure table. A user interlace (126) is coupled to the decoder and configured to render images corresponding with the datagrams on the user interface. Advantages of the invention include improved signal reception and processing, and prolonged battery life in mobile wireless devices.