本文選題：稀疏碼分多址 + 消息傳遞算法��； 參考：《系統(tǒng)工程與電子技術(shù)》2017年10期

【摘要】：針對稀疏碼分多址(sparse code multiple access,SCMA)采用消息傳遞算法(message passing algorithm,MPA)進行迭代解碼中,功能節(jié)點(function node,FN)工作負擔(dān)過重的問題,首先采用蒙特卡羅法得到了接收信號概率密度函數(shù)值在不同信噪比(signal-to-noise ratio,SNR)下的統(tǒng)計規(guī)律,然后針對接收信號概率密度函數(shù)值與外部信息值的關(guān)系,提出了基于門限判決減少FN負荷的部分外部信息傳遞的(partial extrinsic information transmission,PEIT)消息傳遞算法(PEIT-MPA)。仿真結(jié)果表明,PEIT-MPA在幾乎不改變系統(tǒng)誤比特率和迭代收斂速度的條件下,降低了MPA復(fù)雜度,且SNR越高時,PEIT-MPA復(fù)雜度越低。
[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.
【作者單位】： 重慶郵電大學(xué)移動通信重點實驗室;坦佩雷理工大學(xué)電子與通信工程系;
【基金】：國家科技重大專項(2016ZX03001010) 重慶市教委科學(xué)技術(shù)研究項目(KJ1704098)資助課題
【分類號】：TN929.5

【相似文獻】

相關(guān)期刊論文 前1條

1 李琳;袁超偉;楊睿哲;;一種新的選擇BICM-ID混合調(diào)制映射方法[J];北京郵電大學(xué)學(xué)報;2009年06期

，

本文編號：1813148