一种基于小波聚类的NOMA系统SIC盲检测算法  

A novel blind detection algorithm for successive interference cancellation in NOMA system based on wavelet cluster

作　　者：刘佳[1,2] 张浩 王波 Liu Jia;Zhang Hao;Wang Bo(School of Information and Communication Engineering,Guilin University of Electronic Technology,Guilin 541004,China;Samsung Research China-Beijing(SRC-B),Beijing 100028,China)

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004 [2]北京三星通信技术研究有限公司,北京100028

出　　处：《电子技术应用》2023年第12期114-119,共6页Application of Electronic Technique

基　　金：国家自然科学基金(62201163);教育部重点实验室项目(CRKL210109)。

摘　　要：非正交多址接入(Non-Orthogonal Multiple Access,NOMA)下行多用户传输场景中,基站将发送给多个用户的信息在频率域进行叠加,各用户通过串行干扰消除(Successive Interference Cancellation,SIC)来消除其他用户的干扰。在解调和SIC前,需要进行多用户的参数盲检测,从而降低NOMA系统信令开销。通过对星座图的形状特征的利用,提出一种基于小波聚类的多参数盲检测算法,该算法利用到了聚类中的网格法。仿真结果表明,提出的算法检测性能优于经典的基于对数最大似然估计(Max-Log Likelihood Estimation,MLLE)算法且计算复杂度与之相当。In NOMA downlink multi user transmission scenario,the base station transmits a data packet by multi-user superposi-tion to a destination in the frequency domain.In this system,successive interference cancellation(SIC)receiver is used to elimi-nate the co-channel interference for each user.Before demodulation and SIC,a blind detection for multi user parameter is re-quired to reduce the signaling overhead of the NOMA system.By utilizing the shape features of constellation map,a blind detec-tion algorithm for multi parameters based on wavelet clustering is proposed,which utilizes the grid-based method in clustering.The simulation results show that the proposed algorithm achieves higher detection performance than the max-log likelihood esti-mation(MLLE)algorithm under the approximate computation complexity.

关 键 词：NOMA 盲检测 小波聚类 网格法 

分 类 号：TN929.5[电子电信—通信与信息系统]