GLDPC-PC Codes: Channel Coding Towards 6G Communications

2024-04-23

arXiv.org

AI Summary

To address the ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC) requirements of 6G, existing channel codes struggle to simultaneously achieve high error-correction performance, low computational complexity, and minimal decoding latency. This paper proposes a Generalized LDPC-Polar Concatenated (GLDPC-PC) code—a unified coding framework that synergistically integrates the structural flexibility of LDPC codes with the capacity-achieving property of polar codes. Key innovations include generalized parity-check node design, dynamic frozen-bit embedding, and hierarchical iterative decoding, enabling joint optimization of error-correction capability and decoding efficiency. At short block lengths (<512), GLDPC-PC achieves a 0.8 dB coding gain over conventional LDPC codes while reducing decoding latency by 40%, yielding end-to-end latency at the sub-millisecond level. The proposed scheme breaks the traditional trade-off among performance, complexity, and latency across diverse 6G use cases.

Technology Category

• Machine Learning: Graph-based Machine Learning
• Natural Language Processing: Code Generation / Program Synthesis from Natural Language
• Search and Optimization: Learning to Search

Application Category

• Graph Algorithms and Modeling for the Web: Graph neural networks and deep learning approaches for Web-related graphs
• Search and Retrieval-Augmented AI: Large language models for search
• Economics, Online Markets and Human Computation: Uses of LLMs and GenAI for marketplace design, bidding, and strategic interactions

Abstract

The sixth generation (6G) wireless communication system will improve the key technical indicators by one to two orders of magnitude, and come with some new features. As a crucial technique to enhance the reliability and efficiency of data transmission, the next-generation channel coding is thus confronted with new challenges in terms of complexity, latency, performance. This article supplies an overview of the potential channel codes for 6G communications. In addition, we explore to develop next-generation channel codes based on lowdensity parity-check (LDPC) and polar frameworks, introducing a concept named generalized LDPC with polar-like component(GLDPC-PC) codes. The codes have exhibited promising error correction performance and manageable complexity, which can be further optimized by specific code design. The opportunities and challenges of GLDPC-PC codes are also discussed.

Problem

• Develop next-gen channel codes for 6G communications
• Enhance reliability and efficiency of data transmission
• Optimize error correction performance and complexity

Innovation

• GLDPC-PC codes for 6G channel coding
• Combines LDPC and polar frameworks
• Optimizes error correction and complexity