大规模MIMO信道测量与建模综述

doi:10.11959/j.issn.1000-0801.2021067

Abstract

Abstract:

The conducted measurement campaigns at home and abroad were presented.Meanwhile, proposals and standard channel models from the international standardization organization were reviewed.The propagation characteristics of massive MIMO wireless channels were investigated based on the indoor and outdoor measurements.Moreover, the traditional and novel methods of channel modeling were analyzed.Finally, open research issues were presented.

Key words: massive MIMO, wireless channel, channel measurement, channel modeling

CLC Number:

TN929

Yanping LU, Liu LIU, Liqin FU, Jiahui QIU, Kai LIU. A survey of massive MIMO channel measurement and model[J]. Telecommunications Science, 2021, 37(4): 14-27.

Figures/Tables 9

References 38

[38]	ZHANG J H , ZHANG P , TIAN L ,et al. Big data mining-based wireless channel modeling method:CN106126807B[P].2019-04-09
[39]	HE R S , LI Q Y , AI B ,et al. A kernel-power-density-based algorithm for channel multipath components clustering[J]. IEEE Transactions on Wireless Communications, 2017,16(11): 7138-7151.
[40]	DU F , ZHAO X W , GENG S Y ,et al. An improved KPD algorithm of multipath components clustering for 5G millimeter wave radio channels[C]// 2018 12th International Symposium on Antennas,Propagation and EM Theory (ISAPE). Piscataway:IEEE Press, 2018: 1-4.
[41]	WANG C , ZHANG J H , YU G Z . Cluster analysis of pedestrian mobile channels in measurements and simulations[J]. Applied Sciences, 2019,9(5): 886.
[42]	MA X C , ZHANG J H , ZHANG Y X ,et al. A PCA-based modeling method for wireless MIMO channel[C]// 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Piscataway:IEEE Press, 2017: 874-879.
[43]	POPOOLA S I , JEFIA A , ATAYERO A A ,et al. Determination of neural network parameters for path loss prediction in very high frequency wireless channel[J]. IEEE Access, 2019(7): 150462-150483.
[1]	IMT-2020(5G)推进组发布 5G 技术白皮书[J]. 中国无线电, 2015(5).
[2]	GAO X , EDFORS O , RUSEK F ,et al. Massive MIMO performance evaluation based on measured propagation data[J]. IEEE Transactions on Wireless Communications, 2015,14(7): 3899-3911.
[3]	GAO X , EDFORS O , RUSEK F ,et al. Linear pre-coding performance in measured very-large MIMO channels[C]// Proceedings of 2011 IEEE Vehicular Technology Conference (VTC Fall). Piscataway:IEEE Press, 2011: 1-5.
[4]	GAO X , TUFVESSON F , EDFORS O . Massive MIMO channels—measurements and models[C]// Proceedings of 2013 Asilomar Conference on Signals,Systems and Computers. Piscataway:IEEE Press, 2013: 280-284.
[5]	ZHANG S M , DOUFEXI A , NIX A . Evaluating realistic performance gains of massive multi-user MIMO system in urban City deployments[C]// Proceedings of 2016 23rd International Conference on Telecommunications (ICT). Piscataway:IEEE Press, 2016: 1-6.
[6]	LIU G Y , HOU X Y , WANG F ,et al. Achieving 3D-MIMO with massive antennas from theory to practice with evaluation and field trial results[J]. IEEE Systems Journal, 2017,11(1): 62-71.
[7]	SANGODOYIN S , KRISTEM V , U BAS C ,et al. Cluster-based analysis of 3D MIMO channel measurement in an urban environment[C]// Proceedings of MILCOM 2015 - 2015 IEEE Military Communications Conference. Piscataway:IEEE Press, 2015: 744-749.
[8]	FEI D , HE R S , AI B ,et al. Massive MIMO channel measurements and analysis at 3.33 GHz[C]// Proceedings of 2015 10th International Conference on Communications and Networking in China (ChinaCom). Piscataway:IEEE Press, 2015: 194-198.
[9]	LIU L , TAO C , MATOLAK D W ,et al. Stationarity investigation of a LOS massive MIMO channel in stadium scenarios[C]// Proceedings of 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall). Piscataway:IEEE Press, 2015: 1-5.
[10]	LI J Z , AI B , HE R S ,et al. Measurement-based characterizations of indoor massive MIMO channels at 2 GHz,4 GHz,and 6 GHz frequency bands[C]// Proceedings of 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring). Piscataway:IEEE Press, 2016: 1-5.
[11]	PRATSCHNER S , BLAZEK T , GROLL H ,et al. Measured user correlation in outdoor-to-indoor massive MIMO scenarios[J]. IEEE Access, 2020(8): 178269-178282.
[12]	PRATSCHNER S , BLAZEK T ， Z?CHMANN E ,et al. A spatially consistent MIMO channel model with adjustable K factor[J]. IEEE Access, 2019(7): 110174-110186.
[13]	KATAOKA R , NISHIMORI K , TRAN N ,et al. Basic performance of massive MIMO in indoor scenario at 20-GHz band[C]// Proceedings of 2015 International Symposium on Antennas and Propagation (ISAP). Piscataway:IEEE Press, 2015: 1-4.
[14]	MACCARTNEY G R , RAPPAPORT T S , SUN S ,et al. Indoor office wideband millimeter-wave propagation measurements and channel models at 28 and 73 GHz for ultra-dense 5G wireless networks[J]. IEEE Access, 2015(3): 2388-2424.
[15]	SAMIMI M K , RAPPAPORT T S . 3-D millimeter-wave statistical channel model for 5G wireless system design[J]. IEEE Transactions on Microwave Theory and Techniques, 2016,64(7): 2207-2225.
[16]	HOYDIS J , HOEK C , WILD T ,et al. Channel measurements for large antenna arrays[C]// Proceedings of 2012 International Symposium on Wireless Communication Systems (ISWCS). Piscataway:IEEE Press, 2012: 811-815.
[17]	YU H , ZHANG J H , ZHENG Q F ,et al. The rationality analysis of massive MIMO virtual measurement at 3.5 GHz[C]// Proceedings of 2016 IEEE/CIC International Conference on Communications in China (ICCC Workshops). Piscataway:IEEE Press, 2016: 1-5.
[18]	WANG C , ZHANG J H , TIAN L ,et al. The spatial evolution of clusters in massive MIMO mobile measurement at 3.5 GHz[C]// Proceedings of 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). Piscataway:IEEE Press, 2017: 1-6.
[19]	3GPP. Study on channel model for frequency spectrum above 6 GHz:TR 36.900 V14.3.1[S]. 2017.
[20]	3GPP. Study on channel model for frequencies from 0.5 to 100 GHz:TR 36.901 V14.3.0[S]. 2017.
[21]	COST. White paper on channel measurements and modeling for 5G networks in the frequency bands above 6 GHz[R]. 2016.
[22]	LIU L F , OESTGES C , POUTANEN J ,et al. The COST 2100 MIMO channel model[J]. IEEE Wireless Communications, 2012,19(6): 92-99.
[23]	METIS. METIS channel models[Z]. 2015.
[24]	RAPPAPORT T S , SUN S , SHAFI M . 5G channel model with improved accuracy and efficiency in mmwave bands[C]// Proceedings of IEEE 5G Tech Focus. Piscataway:IEEE Press, 2017.
[25]	SAMIMI M K , RAPPAPORT T S . 3-D millimeter-wave statistical channel model for 5G wireless system design[J]. IEEE Transactions on Microwave Theory and Techniques, 2016,64(7): 2207-2225.
[26]	RAPPAPORT T S , MACCARTNEY G R , SAMIMI M K ,et al. Wideband millimeter-wave propagation measurements and channel models for future wireless communication system design[J]. IEEE Transactions on Communications, 2015,63(9): 3029-3056.
[27]	MACCARTNEY G R , RAPPAPORT T S . Rural macrocell path loss models for millimeter wave wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2017,35(7): 1663-1677.
[28]	GHASEMPOUR Y , DA SILVA C R C M , CORDEIRO C ,et al. IEEE 802.11ay:next-generation 60 GHz communication for 100 Gb/s Wi-Fi[J]. IEEE Communications Magazine, 2017,55(12): 186-192.
[29]	JAECKEL S , RASCHKOWSKI L ， B?RNER K ,et al. QuaDRiGa:a 3-D multi-cell channel model with time evolution for enabling virtual field trials[J]. IEEE Transactions on Antennas and Propagation, 2014,62(6): 3242-3256.
[30]	3GPP. On channel modeling for the design of the new radio:RP-160986[S]. 2016.
[31]	ANDREAS F . Molisch,Wireless Communications,2nd Edition[M]. New York: Wiley-IEEE Press. 2011.
[32]	FLEURY B H , DAHLHAUS D , HEDDERGOTT R ,et al. Wideband angle of arrival estimation using the SAGE algorithm[C]// Proceedings of ISSSTA’95 International Symposium on Spread Spectrum Techniques and Applications. Piscataway:IEEE Press, 1996: 79-85.
[33]	LU Y P , TAO C , LIU L ,et al. Spatial characteristics of the massive MIMO channel based on indoor measurement at 1.4725 GHz[J]. IET Communications, 2018,12(2): 192-197.
[34]	杜加懂, 林辉 . 多天线无线信道仿真与建模方法[J]. 电信网技术, 2007(10): 17-20.
	DU J D , LIN H . The simulation and modeling method of multi-antenna wireless channel[J]. Telecommunications Network Technology, 2007(10): 17-20.
[35]	HRYCAK T , DAS S , MATZ G ,et al. Low complexity equalization for doubly selective channels modeled by a basis expansion[J]. IEEE Transactions on Signal Processing, 2010,58(11): 5706-5719.
[36]	朱春华, 姚金魁, 杨铁军 . 无线信道建模方法综述[J]. 无线互联科技, 2015(16): 26-27.
	ZHU C H , YAO J K , YANG T J . Review on wireless channel modeling method[J]. Wireless Internet Technology, 2015(16): 26-27.
[37]	工业和信息化部. 2019年通信业统计公报[Z]. 2020.
	MIIT. Statistical bulletin of communication industry in 2019[Z]. 2020.
[38]	张建华, 张平, 田磊 ,等. 一种基于大数据挖掘的无线信道建模方法:CN106126807B[P].2019-04-09

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流量密度	连接数	时延	移动性	能效	用户体验速率	频谱效率	峰值速率
10 Tbit/(s.km²)	1 Mbit/(s.km²)	1 ms	500 km/h	100倍（相对4G）	0.1～1 Gbit/s	3倍（相对4G）	20 Gbit/s

天线阵列	场景	测量频段	研究点	关注点	参考文献
128×32阵元ULA/UCA	Umi; InH	2.6 GHz	信道容量，奇异值，簇数，簇增益	信道正交性	[2-4]
128×16阵元ULA	Umi; InH	2.6 GHz	信道容量	频谱效率	[5-6]
64×1阵元ULA	Umi	3.3 GHz	角度功率谱，角度扩展	信道非平稳性	[7-8]
128×2阵元ULA	Umi	1.472 5 GHz	多径时延功率分布	信道非平稳	[9-10]
40阵元ULA	O2I	2.5 GHz	相关系数，K因子	信道相关性，频谱效率	[11-12]
24阵元UCA	InH	19.85 GHz	簇数	相关性	[13]
1×1	InH；Umi	28/73 GHz	大尺度快衰落	3D信道冲激响应	[14-15]
112阵元ULA	Umi	2.6 GHz	信道矩阵条件数	信道相关性	[16]
32～256阵元平面阵	Umi	3.5 GHz	簇可见区	多径生灭随机过程	[17-18]

信道模型	场景	特性	参数	参数模型	工作频段	参考文献
3GPP；TR 38.900/TR 38.901	Umi;Uma;InH;RMa	角度时延谱	簇数	12（LOS），19（NLOS）	0.5～100 GHz	[19-20]
			波数	20（LOS和NLOS）
METIS 2020	Umi; InH	基于地图的建模	散射体密度	可伸缩的随机模型	2~～100 GHz	[21-22]
mmMAGIC	Umi; nH	基于几何的随机模型;	簇内时延功率谱	频率相关模型	6～100 GHz	[23]
NYUSIM	Umi 2O;InH	空时不相干的几何随机模型	时延域簇分布	均匀分布，U[1,6]	高达70 GHz	[24-27]
			簇内多径分布	均匀分布，U[1,30]
IEEE802.11ad/ay	InH	射线跟踪	簇数	办公室场景：1（LOS）/17（NLOS）	60 GHz（覆盖<500 m）	[28]
			簇内多径到达率	泊松过程
QuaDRiGa （Fraunhofer）	LOS;NLOS	动态演进的几何随机模型	簇内多径	漂移模型	500 MHz～100 GHz	[29]

中心频率/GHz	带宽/MHz	码率/s	激励序列	码长	发射功率	基站天线数	接收天线数	天线类型
1.472 44.45	91100	91100	多载波信号	2 048	25 dBm	128	1	全向天线

	峰值速率	典型应用场景	天线数	单次测量数据量/MB
2G	144/384 kbit/s	3（宏小区、微小区、室内场景）	1	6
3G	2 Mbit/s	3（宏小区、微小区、室内场景）	1	30
4G	20/100 Mbit/s	4（宏小区、微小区、微微小区、室内场景）	8	1 600
5G	10 Gbit/s	>10（密集住宅、办公室、商场、体育场馆、露天集会、高铁、火车站等）	>128	>6 400 000

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