基于结构化压缩感知的NOMA系统多用户检测NOMA system′s multi-user detection based on structurization compressed sensing
赵晓娟,张爱华,杨守义,李晓宇,张百林
摘要(Abstract)：
未来5G移动通信在频谱效率和用户连接数等方面的需求都有巨大的增长,非正交多址接入(NOMA)作为5G的一项关键技术以其突出的优势受到了广泛关注。上行免调度NOMA系统减少了传输时延,节约了信令开销,但在接收端要对用户活动进行检测。利用结构化压缩感知理论着重分析了在NOMA系统中进行多用户检测时活跃用户数量及过载率对系统检测性能的影响。结果表明,随着活跃用户数量和过载率的增加,常用的压缩感知检测算法检测性能逐渐变差,而结构化迭代支撑检测算法(SISD)的检测性能依旧较好。
关键词(KeyWords)： 5G移动通信;非正交多址接入;多用户检测;结构化压缩感知;无线通信;过载率
基金项目(Foundation): 国家自然科学基金资助项目(61501530)~~
作者(Author): 赵晓娟,张爱华,杨守义,李晓宇,张百林
DOI: 10.16652/j.issn.1004-373x.2018.05.001
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