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低密度奇偶校验码编码的大规模多输入多输出系统

LDPC Coded Massive MIMO Systems.

作者信息

Hwang Inho, Park Han Jin, Lee Jeong Woo

机构信息

School of Electrical and Electronics Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea.

出版信息

Entropy (Basel). 2019 Feb 27;21(3):231. doi: 10.3390/e21030231.

DOI:10.3390/e21030231
PMID:33266946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7514712/
Abstract

We design a coded massive multiple-input multiple-output (MIMO) system using low-density parity-check (LDPC) codes and iterative joint detection and decoding (JDD) algorithm employing a low complexity detection. We introduce the factor graph representation of the LDPC coded massive MIMO system, based on which the message updating rule in the JDD is defined. We devise a tool for analyzing extrinsic information transfer (EXIT) characteristics of messages flowing in the JDD and the three-dimensional (3-D) EXIT chart provides a visualization of the JDD behavior. Based on the proposed 3-D EXIT analysis, we design jointly the degree distribution of irregular LDPC codes and the JDD strategy for the coded massive MIMO system. The JDD strategy was determined to achieve a higher error correction capability with a given amount of computational complexity. It was observed that the coded massive MIMO system equipped with the proposed LDPC codes and the proposed JDD strategy has lower bit error rate than conventional LDPC coded massive MIMO systems.

摘要

我们使用低密度奇偶校验(LDPC)码和采用低复杂度检测的迭代联合检测与解码(JDD)算法设计了一种编码大规模多输入多输出(MIMO)系统。我们引入了LDPC编码大规模MIMO系统的因子图表示,在此基础上定义了JDD中的消息更新规则。我们设计了一种工具来分析在JDD中流动的消息的外在信息传递(EXIT)特性,并且三维(3-D)EXIT图提供了JDD行为的可视化。基于所提出的3-D EXIT分析,我们联合设计了不规则LDPC码的度分布以及编码大规模MIMO系统的JDD策略。确定该JDD策略是为了在给定的计算复杂度下实现更高的纠错能力。据观察,配备所提出的LDPC码和所提出的JDD策略的编码大规模MIMO系统比传统的LDPC编码大规模MIMO系统具有更低的误码率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/2051ac04dd9b/entropy-21-00231-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/eee71447fd67/entropy-21-00231-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/7f6ec3e45db0/entropy-21-00231-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/f7614a6b62a3/entropy-21-00231-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/b030eadce171/entropy-21-00231-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/573bd34ea5cb/entropy-21-00231-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/731fe3d9d825/entropy-21-00231-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/6c7ac8f3766e/entropy-21-00231-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/88bcad9cc3b8/entropy-21-00231-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/37de9d8aefa5/entropy-21-00231-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/2051ac04dd9b/entropy-21-00231-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/eee71447fd67/entropy-21-00231-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/7f6ec3e45db0/entropy-21-00231-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/f7614a6b62a3/entropy-21-00231-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/b030eadce171/entropy-21-00231-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/573bd34ea5cb/entropy-21-00231-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/731fe3d9d825/entropy-21-00231-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/6c7ac8f3766e/entropy-21-00231-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/88bcad9cc3b8/entropy-21-00231-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/37de9d8aefa5/entropy-21-00231-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3187/7514712/2051ac04dd9b/entropy-21-00231-g010.jpg

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