MIMO-SCMA系统低复杂度多用户检测算法

马利丽; 葛文萍; 孟康康

doi:10.13568/j.cnki.651094.651316.2020.03.12.0002

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MIMO-SCMA系统低复杂度多用户检测算法

信息科学与技术 | 更新时间：2026-01-21

- MIMO-SCMA系统低复杂度多用户检测算法
- MIMO-SCMA系统低复杂度多用户检测算法
- 新疆大学学报（自然科学版中英文） 2020年37卷第4期页码：500-507
- 作者机构：
  
  新疆大学信息科学与工程学院
- 作者简介：
- 基金信息：
  
  5G移动通信非正交稀疏码多址接入技术研究(2018D01C033);新疆维吾尔自治区高校科研计划重点项目(XJEDU20201003)
- DOI：10.13568/j.cnki.651094.651316.2020.03.12.0002
  中图分类号： TN929.5
- 纸质出版：2020
- 稿件说明：
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[1]马利丽,葛文萍,孟康康.MIMO-SCMA系统低复杂度多用户检测算法[J].新疆大学学报(自然科学版)(中英文),2020,37(04):500-507.
[1]马利丽,葛文萍,孟康康.MIMO-SCMA系统低复杂度多用户检测算法[J].新疆大学学报(自然科学版)(中英文),2020,37(04):500-507. DOI： 10.13568/j.cnki.651094.651316.2020.03.12.0002.

DOI：10.13568/j.cnki.651094.651316.2020.03.12.0002.

摘要

MIMO-SCMA系统不仅能够实现更高的频谱效率

在高吞吐量和海量连接应用场景中也具有明显的优势.针对下行链路MIMO-SCMA系统中联合消息传递算法(Joint Message Passing Algorithm JMPA)复杂度较高的问题

在JMPA算法的基础上对部分联合外部信息算法进行改进.首先筛选出概率密度函数值大于门限值Td的部分码字

再利用球形译码原理设置合适的球形半径R

对位于球内置信度高的码字信息进行迭代译码

提出的算法进一步减少了虚拟资源节点上信息更新数量.仿真表明

该算法与JMPA算法相比

既能保持检测性能最优和收敛速度较快的优点

又能显著降低算法的检测复杂度.

Abstract

Multiple-input multiple-output-sparse code multiple access(MIMO-SCMA) system not only achieves higher spectral efficiency

also has obvious advantages in high throughput and massive connections application scenarios. In allusion to the problem that Joint Message Passing Algorithm(JMPA) in the downlink MIMOSCMA system has higher complexity

joint partial external information algorithm was improved based on the JMPA

first

partial codewords whose probability density function value are greater than a threshold value Td has been screen out

then set an appropriate spherical radius R by the principle of spherical decoding

high reliability codeword information in the ball inside were decoded

so the algorithm proposed in this paper further reduces the number of information updates on the virtual resource nodes. The simulation shows that compared with JMPA algorithms

the algorithm can not only maintain the optimal detection performance and the convergence speed

also can significantly reduce the detection complexity of the algorithm.

关键词

Keywords

references

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