5G过载零星传输系统中的多用户检测技术性能分析

马国玉; 艾渤; 胡显安; 蒋笑冰

doi:10.11959/j.issn.1000-0801.2016223

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5G过载零星传输系统中的多用户检测技术性能分析

研究与开发 | 更新时间：2024-06-05

- 5G过载零星传输系统中的多用户检测技术性能分析
- Performance analysis of multi-user detection of 5G overloaded sporadic system
- 电信科学 2016年32卷第8期页码：39-45
- 作者机构：
  
  1. 北京交通大学轨道交通与安全国家重点实验室，北京 100044
  2. 中国铁道科学研究院，北京 100081
- 作者简介：
  
  [ "马国玉（1989-），男，北京交通大学轨道交通控制与安全国家重点实验室博士生，主要研究方向为5G 新型非正交多址接入技术、大规模MIMO技术。" ]
  [ "艾渤（1974-），男，北京交通大学轨道交通控制与安全国家重点实验室教授、博士生导师、副主任，IET会士，IEEE高级会员，《IEEE Transactions on Consumer Electronics》期刊、《IEEE Antennas and Wireless Propagation Letter》期刊副主编，主要研究方向为宽带移动通信和轨道交通专用移动通信。" ]
  [ "胡显安（1990-），女，北京交通大学轨道交通控制与安全国家重点实验室硕士生，主要研究方向为5G 新型非正交多址接入技术。" ]
  [ "蒋笑冰（1975-），女，中国铁道科学研究院高级工程师，主要研究方向为铁路运输、网络规划。" ]
- 基金信息：
  
  国家高技术研究发展计划（“863”计划）基金资助项目;The National High Technology Research and Development Program of China（863 Program）(2014AA01A706);北京市科学技术委员会资助项目;Beijing Science and Technology Commission Project(D151100000115004);陕西省基础研究基金资助项目;The Natural Science Base Research Plan in Shaanxi Province of China(2015JM6320)
- DOI：10.11959/j.issn.1000-0801.2016223
  中图分类号： TP393
- 网络出版日期：2016-08，
  
  纸质出版日期：2016-08-20
- 稿件说明：
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马国玉, 艾渤, 胡显安, 等. 5G过载零星传输系统中的多用户检测技术性能分析[J]. 电信科学, 2016,32(8):39-45.

Guoyu MA, Bo AI, Xian’an HU, et al. Performance analysis of multi-user detection of 5G overloaded sporadic system[J]. Telecommunications science, 2016, 32(8): 39-45.
马国玉, 艾渤, 胡显安, 等. 5G过载零星传输系统中的多用户检测技术性能分析[J]. 电信科学, 2016,32(8):39-45. DOI： 10.11959/j.issn.1000-0801.2016223.

Guoyu MA, Bo AI, Xian’an HU, et al. Performance analysis of multi-user detection of 5G overloaded sporadic system[J]. Telecommunications science, 2016, 32(8): 39-45. DOI： 10.11959/j.issn.1000-0801.2016223.

摘要

目前，机器通信具有大规模连接及零星传输的特点，大规模连接导致系统必须使用非正交的接入方式，而零星传输的特性则使接入用户行为具有稀疏性。基于以上特性，相关文献提出了基于压缩感知的多用户检测技术。从用户行为及用户数据的检测性能方面对多用户检测技术进行分析研究，并通过仿真分析得出新的结论：尽管非正交扩频码的互相关性会影响接收端对用户行为及用户数据的检测性能，但CS-MUD 仍然可以有效地支持大规模连接用户下稀疏传输的场景。

Abstract

Currently，MTC has two main characteristics：massive connectivity and sporadic transmission.Massive connectivity makes the access behavior non-orthogonal and the sporadic characteristic makes the user activity sparsity.Based on those characteristics，some literatures introduce a corresponding detection technique called compressive sensing based multi-user detection.Performance of multi-user detection technique was analyzed by evaluating the user activity detection performance and the user data detection performance.The simulation results conclude that the detection performance will be influenced by the cross correlation between the non-orthogonal spreading sequences，but CS-MUD can still support the massive connection scenario in which the user activity is sparse.

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references

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