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Publishing Language: Chinese | Open Access

High-throughput LDPC decoder on GPU for 5G new radio

Rongchun LI1,2( )Xin ZHOU1,2Peng QIAO1,2Qinglin WANG1,2
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
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Abstract

A GPU (graphic processing unit) based 5G software radio quasi cyclic LDPC (low-density parity check) code decoder was proposed. In order to save on chip and off chip bandwidth, code word shortening and punching techniques, two-stage quantization, and data packaging schemes were adopted to improve the utilization of data bandwidth. The experiment was based on the Nvidia RTX 2080Ti GPU platform to achieve parallel decoding of minimum and approximate decoding algorithms under high bit rates. By analyzing the optimal thread settings on the GPU, the decoding throughput of the 5/6 (2080, 1760) LDPC algorithm is improved to 1.38 Gbit/s, and the decoding throughput performance is better than other GPU based LDPC decoders.

CLC number: TN014 Document code: A Article ID: 1001-2486(2024)01-141-08

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Journal of National University of Defense Technology
Pages 141-148

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Cite this article:
LI R, ZHOU X, QIAO P, et al. High-throughput LDPC decoder on GPU for 5G new radio. Journal of National University of Defense Technology, 2024, 46(1): 141-148. https://doi.org/10.11887/j.cn.202401015

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Received: 29 April 2022
Published: 28 February 2024
© 2024 Journal of National University of Defense Technology

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).