部分外部信息传递的SCMA多用户检测算法

发布时间：2018-04-28 01:16

本文选题：稀疏码分多址 + 消息传递算法　；参考：《系统工程与电子技术》2017年10期

【摘要】：针对稀疏码分多址(sparse code multiple access,SCMA)采用消息传递算法(message passing algorithm,MPA)进行迭代解码中,功能节点(function node,FN)工作负担过重的问题,首先采用蒙特卡罗法得到了接收信号概率密度函数值在不同信噪比(signal-to-noise ratio,SNR)下的统计规律,然后针对接收信号概率密度函数值与外部信息值的关系,提出了基于门限判决减少FN负荷的部分外部信息传递的(partial extrinsic information transmission,PEIT)消息传递算法(PEIT-MPA)。仿真结果表明,PEIT-MPA在几乎不改变系统误比特率和迭代收敛速度的条件下,降低了MPA复杂度,且SNR越高时,PEIT-MPA复杂度越低。
[Abstract]:In the iterative decoding of sparse code division multiple access (Sparse code multiple access code) using message passing algorithm (MPAs), the function node is overburdened. The probability density function of received signal under different signal-to-noise ratio (SNR) is obtained by Monte Carlo method, and then the relation between the probability density function of received signal and the value of external information is discussed. A partial extrinsic information transmission (PEIT-based) messaging algorithm based on threshold decision to reduce FN load is proposed. The simulation results show that the MPA complexity is reduced under the condition that the system bit error rate and iterative convergence rate are almost unchanged, and the higher the SNR is, the lower the PEIT-MPA complexity is.
【作者单位】：重庆邮电大学移动通信重点实验室;坦佩雷理工大学电子与通信工程系;
【基金】：国家科技重大专项(2016ZX03001010) 重庆市教委科学技术研究项目(KJ1704098)资助课题
【分类号】：TN929.5

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