Soft Buffer LDPC Decoding for Wireless Retransmission Combining
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Solution Overview
Problem
Wireless communication systems face significant degradation due to noise, fading phenomena, and inter-symbol interference, which hinder high-speed digital communication and broadcasting systems requiring high data throughput and reliability.
Innovation Solution
An electronic device and method for processing received signals using LDPC encoding and decoding techniques, including soft buffer management for combining initial and retransmitted transport blocks, and iterative decoding algorithms to enhance signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If soft buffer memory is allocated for storing both initial transmission data and retransmission data separately, then decoding reliability is improved, but device complexity increases due to additional memory management requirements
Solution Approach 1:
The soft buffer is segmented into multiple areas, with each area corresponding to a specific transport block. This segmentation allows the receiver to store initial transmission data and retransmission data in different areas while maintaining clear organization. The segmentation principle resolves the contradiction by enabling reliable separate storage of multiple transmissions without requiring complex overall memory management, as each area can be independently managed.
Solution Approach 2:
The soft buffer areas are pre-configured and identified before actual data storage occurs. The receiver预先 identifies which buffer area corresponds to which transport block, enabling efficient data placement during retransmissions. This preliminary action reduces the complexity of real-time memory management while ensuring that both initial and retransmitted data can be reliably stored and retrieved.
2Productivity
If iterative decoding is performed by combining initial and retransmitted transport blocks, then decoding efficiency is improved, but processing time increases due to multiple decoding iterations
Solution Approach 1:
The iterative decoding process continuously combines initial and retransmitted transport blocks, maintaining the useful action of data recovery throughout multiple iterations. Rather than completing one full decoding process before starting another, the system continuously accumulates and processes combined data from multiple transmissions, improving overall decoding efficiency while managing processing time through continuous operation.
Solution Approach 2:
The decoding process incorporates feedback mechanisms where the results of each decoding iteration inform subsequent processing steps. The receiver uses feedback from failed decoding attempts to adjust combining strategies and focus processing resources on problematic data segments, thereby improving decoding efficiency without requiring proportional increases in total processing time.
Data Source
AI summary
A method performed by an electronic device is provided. The method includes receiving a first signal related to an initial transmission of a transport block, based on a failure to decode the first signal, storing first data related to the first signal in a soft buffer of the electronic device, receiving a second signal related to a retransmission of the transport block, storing second data related to the second signal in the soft buffer, identifying, among the soft buffer, a first area for the first data and a second area for the second data, distinguished from an area in which data is not stored, as a decoding area, and based on the decoding area, performing decoding of first combined data obtained based on combining the first data and the second data.