Structured LDPC Group Coding for Multi-Antenna Data Transmission
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Solution Overview
Problem
Current communication systems using structured Low Density Parity Check (LDPC) codes face inefficiencies in data transmission and reception, particularly in multi-antenna systems, as they typically transmit and receive data bit by bit, which limits performance and reliability.
Innovation Solution
The method involves performing structured LDPC coding on input data, parallel-converting the coded LDPC codewords in groups of a predetermined size for transmission, and serial-converting received parallel data streams for efficient decoding, utilizing a structured LDPC encoder and decoder to enhance data transmission and reception in multi-antenna communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is transmitted bit by bit in conventional LDPC systems, then the system structure is simple, but the data transmission efficiency and reliability are limited
Solution Approach 1:
The patent divides the LDPC codeword into multiple groups of bits and processes each group separately through parallel encoding and decoding operations. This segmentation enables group-based parallel processing, which improves data transmission efficiency while maintaining manageable system complexity through modular group-wise operations
Solution Approach 2:
The patent transitions from conventional bit-by-bit sequential processing to group-based parallel processing, effectively adding a dimensional aspect to the processing approach. By organizing bits into groups and processing them in parallel across multiple dimensions, the system achieves higher transmission efficiency without proportionally increasing complexity
2Productivity
If group-based parallel processing is implemented, then transmission efficiency improves, but the coding and decoding complexity increases
Solution Approach 1:
The encoder and decoder are divided into multiple independent processing units, each handling a specific group of bits. This segmentation allows parallel processing of multiple groups simultaneously, improving transmission efficiency while keeping individual unit complexity manageable through modular design
Solution Approach 2:
The patent employs universal processing structures that can handle multiple groups of bits through parallel instantiation. The same encoding/decoding logic is reused across multiple groups, reducing overall system complexity despite the increase in parallel processing capacity
3Reliability
If conventional LDPC coding is used without structured approach, then coding flexibility is high, but decoding performance and reliability are reduced
Solution Approach 1:
The LDPC code is structured with a specific matrix format that segments the coding process into regular patterns. This structured segmentation enables more reliable parallel decoding operations while maintaining systematic organization that improves decoding performance and reliability
Solution Approach 2:
The patent employs structured LDPC codes with specific parameter configurations that optimize both reliability and manageability. By carefully selecting code parameters and organizing the structured format, the system achieves improved transmission reliability without excessive complexity
4Reliability
If bit-by-bit processing is used, then implementation is straightforward, but system performance in multi-antenna systems is limited
Solution Approach 1:
The patent segments the data processing into groups that can be independently mapped to multiple antennas. This segmentation enables efficient multi-antenna transmission by distributing grouped data across multiple spatial channels, improving system performance while maintaining implementation feasibility through organized group-wise processing
Solution Approach 2:
The patent introduces parallel group-based processing as an additional dimension to the conventional bit-by-bit approach. This dimensional change enables better exploitation of multi-antenna capabilities through parallel spatial processing, improving performance while keeping implementation manageable through structured parallel operations
Data Source
AI summary
Provided is an apparatus and method for transmitting/receiving data in a communication system using a structured Low Density Parity Check (LDPC) code. The transmitter performs structured LDPC coding on input information data using a structured LDPC code, parallel-converts a structured LDPC codeword generated by performing the structured LDPC coding, in units of groups having a predetermined size, and transmits data. The receiver receives a plurality of parallel data streams, serial-converts the received parallel data streams in units of groups having a predetermined size, and performs structured LDPC decoding on the data which was serial-converted group by group, using a structured LDPC code.