面向GPU的5G新型无线电的高吞吐率LDPC译码器  

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

作　　者：李荣春[1,2] 周鑫 乔鹏 王庆林 LI Rongchun;ZHOU Xin;QIAO Peng;WANG Qinglin(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)

机构地区：[1]国防科技大学计算机学院,湖南长沙410073 [2]国防科技大学并行与分布计算全国重点实验室,湖南长沙410073

出　　处：《国防科技大学学报》2024年第1期141-148,共8页Journal of National University of Defense Technology

基　　金：国家自然科学基金资助项目(61902415,62002365)。

摘　　要：提出了一种基于图形处理单元(graphic processing unit,GPU)的5G软件无线电准循环低密度奇偶校验(low density parity check,LDPC)码译码器,为了节省片上和片下带宽,采用码字缩短和打孔技术、两级量化和数据打包方案,以提升数据带宽的利用率。实验基于Nvidia RTX 2080Ti GPU平台实现了高码率情况下的最小和近似译码算法的并行译码,通过分析GPU上的最优线程设置,将码率为5/6的(2080,1760)LDPC算法的译码吞吐率提升至1.38 Gbit/s,译码吞吐率性能优于现有其他基于GPU的LDPC译码器。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.

关 键 词：低密度奇偶校验 5G 图形处理单元 软件无线电 

分 类 号：TN014[电子电信—物理电子学]