Spatially Coupled LDPC Encoding for High-Rate Wireless Transmission
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Solution Overview
Problem
Existing wireless communication networks face challenges in achieving ultra-high data rates, ultra-low latency, and ultra-high reliability due to the increasing demand for data transmission in applications like virtual reality and intelligent transportation, which current 5G mobile communications cannot adequately address.
Innovation Solution
Employing spatially coupled low-density parity-check codes (LDPC) with a basic matrix structure that includes identical sub-matrix groups arranged diagonally, utilizing a lifting size to enhance encoding and decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If spatially coupled LDPC codes are used for encoding, then data transmission rate approaches Shannon capacity limit, but encoding and decoding complexity increases
Solution Approach 1:
The patent divides the LDPC code structure into basic sub-matrices that are arranged in a systematic pattern with identical diagonal structures. This segmentation allows the large parity-check matrix to be broken down into manageable basic units, reducing the overall encoding and decoding complexity while maintaining high data transmission rates that approach the Shannon capacity limit.
Solution Approach 2:
The patent employs a lifting size parameter to transform the basic matrix structure into a scalable LDPC code structure. By changing the lifting size parameter, the system can adjust the code rate and block length while maintaining the beneficial properties of spatially coupled LDPC codes, thereby achieving high transmission rates without proportionally increasing complexity.
2Productivity
If higher data transmission rates are achieved through spatially coupled LDPC, then throughput increases, but latency may increase due to more complex processing
Solution Approach 1:
The segmented basic matrix structure enables parallel processing of encoding and decoding operations. Each basic sub-matrix can be processed independently or in small groups, reducing the sequential processing time and latency while maintaining high throughput through efficient utilization of the spatial coupling structure.
3Reliability
If spatially coupled LDPC with identical diagonal sub-matrix groups is used, then decoding performance improves, but the basic matrix structure becomes more complex
Solution Approach 1:
The patent uses identical diagonal sub-matrix groups throughout the basic matrix structure. This homogeneity means that the same basic building blocks are repeated systematically, which actually simplifies implementation despite the sophisticated decoding performance. The repeated identical structures allow for optimized, reusable decoding algorithms and reduce the variety of operations needed compared to completely irregular structures.
Data Source
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AI summary
The embodiments of the present application relate to the technical field of communications. Provided are an encoding method and apparatus, a decoding method and apparatus, and a storage medium, which can support higher data transmission rates. The encoding method comprises: acquiring a first bit sequence to be encoded; on the basis of a basic matrix of a spatial coupling low-density parity-check code (LDPC) and a lifting value, encoding the first bit sequence to obtain a second bit sequence, wherein the basic matrix comprises L sub-basic matrix groups which are the same and are arranged diagonally, each sub-basic matrix group comprises M first sub-basic matrixes, and L and M are both positive integers; and sending all or part of bits of the second bit sequence. The present application can be used in wire- less communication processes.