西安电子科技大学学报

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非正交多址接入中稀疏多用户检测方法

李燕龙1,2;陈晓1;詹德满1,2;王俊义1   

  1. (1. 桂林电子科技大学 认知无线电与信息处理教育部重点实验室,广西 桂林 541004;
    2. 中国电子科技集团公司第54研究所 通信网信息传输与分发技术重点实验室,河北 石家庄 050081)
  • 收稿日期:2016-06-15 出版日期:2017-06-20 发布日期:2017-07-17
  • 通讯作者: 王俊义(1977-),男,副教授,博士,E-mail: wangjy@guet.edu.cn
  • 作者简介:李燕龙(1989-),男,讲师,桂林电子科技大学博士研究生,E-mail: lylong@guet.edu.cn
  • 基金资助:

    国家自然科学基金资助项目(61371107,61362006);无线宽带与信号处理重点实验室基金资助项目(GXKL061501);北京邮电大学泛网无线通信教育部重点实验室资助项目(KFKT-2014102);认知无线电与信息处理教育部重点实验室2015年主任基金资助项目(CRKL150111)

Method of sparse multi-user detection in non-orthogonal multiple access

LI Yanlong1,2;CHEN Xiao1;ZHAN Deman1,2;WANG Junyi1   

  1. (1. Ministry of Education Key Lab. of Cognitive Radio and Information Processing , Guilin Univ. of Electronic Technology, Guilin 541004, China;
    2. Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China)
  • Received:2016-06-15 Online:2017-06-20 Published:2017-07-17

摘要:

针对未来5G上行非正交多址接入系统多用户检测中连接用户数大、一定时间内活跃用户少和信号稀疏的特点,利用压缩感知理论和5G非正交多址系统需求,设计了一种码片映射码分多址的非正交多址系统.通过压缩感知技术联合检测出上行非正交多址系统中活跃用户和数据,由于用户不再发送给基站自身活跃状态的信息,也无需提前与基站进行交互,因此大大降低了控制信令的开销和传输时延.仿真结果表明,该系统不仅能够利用压缩感知理论可靠地检测出活跃用户和数据,同时还可以实现过载,在活跃用户较为稀疏情况下,过载率可达300%,大幅提升了频谱利用率.

关键词: 非正交多址, 多用户检测, 压缩感知, 过载

Abstract:

For the features of the uplink non-orthogonal multiple access (NOMA) system for 5G in the future, in which the number of connected users is huge in the multi-user detection, the active users within a given time are rare and the signals are sparse. A non-orthogonal multiple access system Chips Mapper-CDMA is designed by taking advantage of compressive sensing theory and the demand of the NOMA system of 5G. Combined with the compressive sensing technique, it detects the active users and data of the uplink NOMA system. It greatly reduces the control signaling overhead and transmission delay because the active users do not send the active status information to the base station and do not need to interact with the base station in advance. Simulation results show that the system can not only take advantage of compressive sensing theory to detect the active users and data reliably, but also achieve overload. Under the circumstances in which active users are sparse, the overload rate can be up to 300%, which greatly improves the spectrum efficiency.

Key words: non-orthogonal multiple access, multi-user detection, compressive sensing, overload