Performance analysis of multi-user detection of 5G overloaded sporadic system

Guoyu MA; Bo AI; Xian’an HU; Xiaobing JIANG

doi:10.11959/j.issn.1000-0801.2016223

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Performance analysis of multi-user detection of 5G overloaded sporadic system

research and development | 更新时间：2024-06-05

- Performance analysis of multi-user detection of 5G overloaded sporadic system
- Telecommunications Science Vol. 32, Issue 8, Pages: 39-45(2016)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016223
  CLC： TP393
- Published Online：2016-08，
  
  Published：20 August 2016
- 稿件说明：
移动端阅览
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：

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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