面向mMIMO系统的模式分割随机接入方案

doi:10.11959/j.issn.1000-0801.2022277

电信科学 ›› 2022, Vol. 38 ›› Issue (10): 57-66.doi: 10.11959/j.issn.1000-0801.2022277

• 专题：6G无线传输技术 • 上一篇下一篇

面向mMIMO系统的模式分割随机接入方案

戴晓明¹, 庞立卓¹, 常争¹, 张馨月¹, 邢怡然¹, 王曦元²

¹ 北京科技大学计算机与通信工程学院，北京 100083
² 北京信息科技大学信息与通信工程学院，北京 100083

修回日期:2022-10-14 出版日期:2022-10-20 发布日期:2022-10-01
作者简介:戴晓明（1973- ），男，博士，北京科技大学教授、博士生导师，主要研究方向为宽带无线通信、5G+/6G、人工智能、NOMA 及大数据处理等
庞立卓（2000- ），女，北京科技大学硕士生，主要研究方向为大规模多输入多输出系统、随机接入
常争（2001- ），男，北京科技大学硕士生，主要研究方向为非正交多址接入
张馨月（1999- ），女，北京科技大学硕士生，主要研究方向为随机接入、非正交多址接入
邢怡然（1999- ），女，北京科技大学硕士生，主要研究方向为大规模多输入多输出系统、信号检测与估计
王曦元（1981- ），男，博士，北京信息科技大学副教授，主要研究方向为无线通信、信息论和信号处理
基金资助:
国家自然科学基金资助项目(61871029)

Pattern division random access (PDRA) scheme for mMIMO systems

Xiaoming DAI¹, Lizhuo PANG¹, Zheng CHANG¹, Xinyue ZHANG¹, Yiran XING¹, Xiyuan WANG²

¹ School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
² School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100083, China

Revised:2022-10-14 Online:2022-10-20 Published:2022-10-01
Supported by:
The National Natural Science Foundation of China(61871029)

摘要/Abstract

摘要：

为提升海量机器类通信（massive machine-type communication，mMTC）设备的随机接入（random access， RA）性能，提出一种面向大规模多输入多输出（massive multiple-input multiple-output，mMIMO）系统的模式分割随机接入（pattern division random access，PDRA）方案。该方案将导频竞争空间扩展到模式域，通过叠加同一ZC（Zadoff-Chu）根序列的L个不同循环移位序列，设计基于“图样叠加”的模式域导频，在不增加物理资源的前提下扩大导频集合。仿真结果表明，在不影响信道估计和数据检测性能的前提下，与传统 RA方案相比，PDRA方案能够显著降低导频碰撞概率，提高接入成功率。

关键词: 海量机器类通信, 多输入多输出, 随机接入, 模式分割随机接入, 模式域

Abstract:

To enhance the massive machine-type communications (mMTC) random access (RA) performance, a pattern division random access (PDRA) scheme was proposed for massive multiple-input multiple-output (mMIMO) systems.In this scheme, the pilot contention space was expanded to the pattern-domain.To enlarge the size of contention space without resorting to increasing the physical resources, the pattern-domain pilot was constructed based on the superposition of L cyclically-shifted Zadoff-Chu (ZC) sequences.Simulation results illustrate that the PDRA scheme can reduce pilot collision probability significantly, and improve the access success probability compared with the conventional RA scheme, without compromising excessively on channel estimation and data detection performance.

Key words: mMTC, MIMO, random access, pattern division random access, pattern-domain

中图分类号:

TN92

戴晓明, 庞立卓, 常争, 张馨月, 邢怡然, 王曦元. 面向mMIMO系统的模式分割随机接入方案[J]. 电信科学, 2022, 38(10): 57-66.

Xiaoming DAI, Lizhuo PANG, Zheng CHANG, Xinyue ZHANG, Yiran XING, Xiyuan WANG. Pattern division random access (PDRA) scheme for mMIMO systems[J]. Telecommunications Science, 2022, 38(10): 57-66.

图/表 10

图1

图2

图3

表1

图4

图5

图6

图7

图8

图9

参考文献 22

[1]	ERICSSON L . More than 50 billion connected devices[R]. 2011.
[2]	HU R Q , QIAN Y , CHEN H H ,et al. Recent progress in machine-to-machine communications[Guest editorial][J]. IEEE Communications Magazine, 2011,49(4): 24-26.
[3]	3GPP. Considerations and evaluation results for IMT-2020 for mMTC connection density:R1-1903968[S]. 2019.
[4]	3GPP. IMT 2020 self evaluation:mMTC coverage,data rate,latency ＆ battery life:R1-1905187[S]. 2019.
[5]	WANG Z H , WONG V W S . Optimal access class barring for stationary machine type communication devices with timing advance information[J]. IEEE Transactions on Wireless Communications, 2015,14(10): 5374-5387.
[6]	3GPP. Study on RAN improvements for machine-type communications:TR 37.868[S]. 2011.
[7]	LIN T M , LEE C H , CHENG J P ,et al. PRADA:prioritized random access with dynamic access barring for MTC in 3GPP LTE-A networks[J]. IEEE Transactions on Vehicular Technology, 2014,63(5): 2467-2472.
[8]	PRATAS N K , THOMSEN H , STEFANOVI? ? ,et al. Code-expanded random access for machine-type communications[C]// Proceedings of 2012 IEEE Globecom Workshops. Piscataway:IEEE Press, 2012: 1681-1686.
[9]	VURAL S , WANG N , FOSTER G ,et al. Success probability of multiple-preamble-based single-attempt random access to mobile networks[J]. IEEE Communications Letters, 2017,21(8): 1755-1758.
[10]	KIM T , JUNG B C , SUNG D K . An enhanced random access with distributed pilot orthogonalization for cellular IoT networks[J]. IEEE Transactions on Vehicular Technology, 2020,69(1): 1152-1156.
[11]	KIM T , JUNG B C . An enhanced random access with inter-frame successive interference cancellation for stationary cellular IoT networks[J]. IEEE Wireless Communications Letters, 2020,9(5): 606-610.
[12]	DING J , QU D M , JIANG H ,et al. Success probability of grant-free random access with massive MIMO[J]. IEEE Internet of Things Journal, 2019,6(1): 506-516.
[13]	LIU L , YU W . Massive connectivity with massive MIMO—part I:device activity detection and channel estimation[J]. IEEE Transactions on Signal Processing, 2018,66(11): 2933-2946.
[14]	SENEL K , LARSSON E G . Grant-free massive MTC-enabled massive MIMO:a compressive sensing approach[J]. IEEE Transactions on Communications, 2018,66(12): 6164-6175.
[15]	DING Z G , SCHOBER R , FAN P Z ,et al. Simple semi-grant-free transmission strategies assisted by non-orthogonal multiple access[J]. IEEE Transactions on Communications, 2019,67(6): 4464-4478.
[16]	TANG W W , KANG S L , REN B ,et al. Uplink grant-free pattern division multiple access (GF-PDMA) for 5G radio access[J]. China Communications, 2018,15(4): 153-163.
[17]	YUAN Z F , YAN C L , YUAN Y F ,et al. Blind multiple user detection for grant-free MUSA without reference signal[C]// Proceedings of 2017 IEEE 86th Vehicular Technology Conference. Piscataway:IEEE Press, 2017: 1-5.
[18]	POLYANSKIY Y , . A perspective on massive random-access[C]// Proceedings of 2017 IEEE International Symposium on Information Theory. Piscataway:IEEE Press, 2017: 2523-2527.
[19]	3GPP. Evolved universal terrestrial radio access (E-UTRA);medium access control (MAC) protocol specification:TS 36.321[S]. 2009.
[20]	3GPP. Technical specification group radio access network,NR,physical layer procedures:TS 36.213[S]. 2017.
[21]	SESIA S , TOUFIK I , BAKER M . LTE - the UMTS long term evolution[M]. Hoboken: Wiley, 2011.
[22]	3GPP. Spatial channel model for multiple input multiple output (MIMO) simulations (release 13):TR 25.996[S]. 2019.

参数	数值
小区半径/m	500
UE数/个	10 000
ZC序列长度	839
信道模型	空间相关/不相关瑞利衰落
路径损耗指数	2.5（视距）/3.8（非视距）
对数正态分布阴影衰落标准差	4 dB（视距）/10 dB（非视距）

面向mMIMO系统的模式分割随机接入方案

Pattern division random access (PDRA) scheme for mMIMO systems

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 22

相关文章 15

Metrics

推荐阅读 0

[1]	刘晓谦, 唐昕柯, 董宇涵. 水下无线光MIMO链路空间信道建模[J]. 电信科学, 2023, 39(5): 48-56.
[2]	汪晗, 刁磊, 王梦玲, 荣欣, 李佳珉, 尤肖虎. 工业物联网中URLLC的关键问题分析[J]. 电信科学, 2022, 38(Z1): 77-92.
[3]	李昕, 孙君. 基于价值差异学习的多小区mMTC接入算法[J]. 电信科学, 2022, 38(6): 82-90.
[4]	王越, 许方敏, 曹海燕. TDD模式下无小区大规模MIMO系统的导频干扰抑制[J]. 电信科学, 2022, 38(5): 87-94.
[5]	陈浩椅, 李光球, 李辉. 基于IAFS算法的毫米波大规模MIMO混合预编码方法[J]. 电信科学, 2021, 37(8): 77-84.
[6]	宋晓群, 金明, 贾忠杰. 一种大规模MIMO系统的联合用户活跃性和信号检测方法[J]. 电信科学, 2021, 37(5): 113-123.
[7]	丁家昕,倪梁方,王熠,戴慧洁. Cayley差分酉空时码在多输入多输出电力线通信中的应用[J]. 电信科学, 2019, 35(8): 97-103.
[8]	尤若楠,潘鹏,张丹,王海泉. 基于有限反馈的毫米波MIMO系统的混合预编码方法[J]. 电信科学, 2018, 34(8): 119-128.
[9]	毛攀,黄小光,汪伟,宋建. 基于压缩感知的大规模MIMO信道估计与反馈[J]. 电信科学, 2018, 34(12): 46-52.
[10]	郑思思,王海泉,李国彬,戴谭明. 有限反馈MIMO下行系统中基于黄金码的传输方案与解码方法[J]. 电信科学, 2018, 34(11): 31-40.
[11]	王雪丽,王海泉,李肖,杨大款. 莱斯衰落信道下大规模MIMO系统中的信道估计方法[J]. 电信科学, 2017, 33(9): 10-19.
[12]	杨丽花,梁彦. 信道老化时高速移动大规模MIMO上行系统的性能分析[J]. 电信科学, 2017, 33(7): 19-27.
[13]	何世文,黄永明,王海明,洪伟. 毫米波无线通信发展趋势及技术挑战[J]. 电信科学, 2017, 33(6): 11-20.
[14]	段红光,卢松品,王利飞,王胜,李同会,谭丹. LTE-Advanced时隙接入中动态帧长选择算法[J]. 电信科学, 2017, 33(3): 8-13.
[15]	李汀,仇林杰,季薇. 3D MIMO-OFDMA系统中基于垂直波束成形的能效优化算法[J]. 电信科学, 2017, 33(11): 17-26.