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High Area-Efficient Parallel Encoder with Compatible Architecture for 5G LDPC Codes

Yufei Zhu, Zuocheng Xing, Zerun Li, Yang Zhang, Y. Hu

2021Symmetry10 citationsDOIOpen Access PDF

Abstract

This paper presents a novel parallel quasi-cyclic low-density parity-check (QC-LDPC) encoding algorithm with low complexity, which is compatible with the 5th generation (5G) new radio (NR). Basing on the algorithm, we propose a high area-efficient parallel encoder with compatible architecture. The proposed encoder has the advantages of parallel encoding and pipelined operations. Furthermore, it is designed as a configurable encoding structure, which is fully compatible with different base graphs of 5G LDPC. Thus, the encoder architecture has flexible adaptability for various 5G LDPC codes. The proposed encoder was synthesized in a 65 nm CMOS technology. According to the encoder architecture, we implemented nine encoders for distributed lifting sizes of two base graphs. The eperimental results show that the encoder has high performance and significant area-efficiency, which is better than related prior art. This work includes a whole set of encoding algorithm and the compatible encoders, which are fully compatible with different base graphs of 5G LDPC codes. Therefore, it has more flexible adaptability for various 5G application scenarios.

Topics & Concepts

Low-density parity-check codeEncoderComputer scienceEncoding (memory)Parallel computingAdaptabilityArchitectureAlgorithmDecoding methodsComputer architectureArtificial intelligenceArtBiologyVisual artsOperating systemEcologyError Correcting Code TechniquesCooperative Communication and Network CodingAdvanced Wireless Communication Techniques
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