Structured LDPC Group Interleaving for Multi-Antenna Transmission
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Solution Overview
Problem
Current communication systems face challenges in efficiently transmitting and receiving structured Low Density Parity Check (LDPC) codes, particularly in multi-antenna systems, where bit-by-bit transmission is inefficient and requires complex coding and decoding processes, and there is a need for a method to support variable-length codes while maintaining high performance.
Innovation Solution
The proposed solution involves encoding input information using a structured LDPC code, parallel-converting coded structured LDPC codewords bit by bit according to the number of antennas, and applying a group interleaving scheme in a multi-antenna communication system, allowing for efficient transmission and reception of structured LDPC codes by grouping data and using a structured parity check matrix to facilitate decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bit-by-bit transmission is used in multi-antenna systems, then data transmission capability is provided, but coding and decoding complexity increases and efficiency decreases
Solution Approach 1:
The patent segments the LDPC codeword into multiple groups (e.g., Ns groups) and processes each group independently through separate encoders and decoders. This segmentation reduces the complexity of individual coding/decoding operations while maintaining overall transmission efficiency through parallel processing across multiple antennas.
Solution Approach 2:
The patent introduces a group dimension to the traditional bit-by-bit transmission approach. By organizing codewords into groups and using group interleaving, the system transforms the processing from a single-dimensional bit stream into a multi-dimensional structure that can be efficiently mapped to multiple antennas, reducing complexity while maintaining productivity.
2Reliability
If structured LDPC codes are used, then decoding performance is improved, but support for variable-length codes becomes challenging
Solution Approach 1:
The patent employs dynamic group interleaving patterns that can be adjusted based on the code length and antenna configuration. The groupization parameter Ns and the interleaving pattern can be dynamically changed to accommodate different code lengths while maintaining the structured LDPC decoding performance, thus providing versatility for variable-length codes.
Solution Approach 2:
The patent creates a universal framework where the same structured LDPC encoder and decoder architecture can handle variable-length codes by adjusting the number of groups and the group interleaving pattern. This multi-functional approach allows the system to maintain optimal decoding performance across different code lengths without requiring separate specialized structures.
3Device complexity
If group interleaving scheme is applied, then hardware complexity is reduced, but data grouping and mapping processes are introduced
Solution Approach 1:
The patent segments the data stream into groups that can be independently processed by multiple encoders and decoders. This segmentation simplifies the hardware architecture by dividing complex single-stream processing into parallel simpler operations, reducing overall hardware complexity while the group interleaving manages the mapping systematically.
Solution Approach 2:
The group interleaver acts as an intermediary component that systematically organizes data groups before transmission and reverses the process at the receiver. This intermediary structure simplifies the overall system by providing a clear, rule-based mapping mechanism that reduces hardware complexity compared to direct bit-by-bit processing without requiring complex adaptive mapping logic.
Data Source
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AI summary
Provided is an apparatus and method for transmitting/receiving data in a multi-antenna 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.