基于物联网的一种NNLS用户检测算法研究  

Research on NNLS User Detection Algorithm Based on Internet of Things

作　　者：范波勇 周井泉[2] FAN Boyong;ZHOU Jingquan(School of Software,Changsha Social Work College,Changsha Hunan 410004,China;School of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210003,China)

机构地区：[1]长沙民政职业技术学院软件学院,湖南长沙410004 [2]南京邮电大学电子与光学工程学院,江苏南京210003

出　　处：《通信技术》2024年第9期905-910,共6页Communications Technology

基　　金：湖南省教育厅科学研究项目(23C1077)。

摘　　要：物联网能促进信息化与现代化高度融合,信息有效传输是物联网中的一个重要环节,而5G的应用场景之一海量机器类通信(Massive Machine Type Communication,mMTC)能满足物联网用户数量众多的需求,这种场景需要主动检测活跃用户。为了简化用户检测,首先用户发送导频跳频序列,其次基站根据接收到的能量来检测活跃用户。通过比较不同的用户检测方法,提出了一种非负最小二乘(Non Negative Least Square,NNLS)算法,采用压缩感知技术来完成无授权随机接入活跃用户的检测。仿真结果表明,与其他几种经典算法相比,NNLS算法提升了漏检概率和虚警概率性能,可以更好地为物联网提供有效的信息传输。The IoT(Internet of Things)can promote the high integration of informatization and modernization,and effective information transmission is an important link in the IoT.One of the 5G application scenarios,mMTC(massive Machine Type Communication),can precisely meet the needs of a large number of IoT users,which requires active detection of active users.In order to simplify the user detection,first users send pilot frequency hopping sequences,and then base stations detect the active user based on the received energy.By comparing different user detection methods,a NNLS(Non Negative Least Squares)algorithm is proposed,which uses compressed sensing technology to detect active users in unauthorized random access.Simulation results indicate that the NNLS algorithm improves the performance of missed detection probability and false alarm probability compared to other classical algorithms,thus it can better provide effective information transmission for IoT.

关 键 词：物联网 海量机器类通信 大规模MIMO 压缩感知 

分 类 号：TN911.25[电子电信—通信与信息系统]