A Survey of Massive MIMO Channel Measurements and Models

doi:10.3969/j.issn.1673-5188.2017.01.003

ZTE Communications ›› 2017, Vol. 15 ›› Issue (1): 14-22.DOI: 10.3969/j.issn.1673-5188.2017.01.003

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A Survey of Massive MIMO Channel Measurements and Models

ZHANG Jianhua, WANG Chao, WU Zhongyuan, ZHANG Weite

Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-11-09 Online:2017-02-25 Published:2019-12-24
About author:ZHANG Jianhua (jhzhang@bupt.edu.cn) received her Ph.D. degree in circuit and system from Beijing University of Posts and Telecommunication (BUPT), China in 2003 and now is a professor of BUPT. She has published more than 100 articles in referred journals and conferences and 40 patents. She was awarded “2008 Best Paper” of Journal of Communication and Network. In 2007 and 2013, she received two national novelty awards for her contribution to the research and development of beyond 3G TDD demo system with 100 Mbps@20 MHz and 1 Gbps@100 MHz respectively. In 2009, she received the Second Prize for Science Novelty from Chinese Communication Standards Association for her contributions to ITU-R 4G (ITU-R M.2135) and 3GPP Relay channel model (3GPP 36.814). From 2012 to 2014, she did the 3D channel modeling work and contributed to 3GPP 36.873. She is also the member of the 3GPP 5G channel model for bands up to 100 GHz. Her current research interests include 5G, artificial intelligence, data mining especially in massive MIMO and millimeter wave channel modeling, channel emulator, and OTA test. She is an IEEE senior member and the drafting group (DG) chairwoman of ITU-R IMT-2020 channel model.|WANG Chao (chaowang@bupt.edu.cn) is working for a Ph.D. degree in the Key Lab of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, China. His current research field is massive MIMO channel measurement and modelling.|WU Zhongyuan (pyboon@foxmail.com) received the B.S. degree from China University of Petroleum, China in 2016. He is currently pursuing a M.S. degree from the Beijing University of Posts and Telecommunication, China. His research interests include massive MIMO channel measurement and modeling, and wireless channel characteristics in 5G system.|ZHANG Weite (zhangweite1994@foxmail.com) is currently a postgraduate student of Beijing University of Posts and Telecommunications (BUPT), China. He received the B.Sc. degree in communication engineering from Shanghai University, China in 2016. His research interests include propagation models, statistical properties of massive MIMO, and machine learning.
Supported by:
This research is supported in part by National Natural Science Foundation of China(61322110);This research is supported in part by National Natural Science Foundation of China(6141101115);in part by National Science and Technology Major Project of the Ministry of Science and Technology(2015ZX03002008);in part by National Key Technology Research and Development Program(2012BAF14B01);by “863” Program(2015AA01A703);by Doctoral Fund of Ministry of Education(201300051100013)

Abstract

Abstract:

Compared with conventional multiple-input multiple-output (MIMO), massive MIMO system with tens or even hundreds of antennas is able to give better performance in capacity and spectral efficiency, which is a promising technology for 5G. Considering this, massive MIMO has become a hot research topic all over the world. In this paper, the channel measurements and models of massive MIMO in recent years are summarized. Besides, the related 256 antenna elements with 200 MHz bandwidth at 3.5 GHz proposed by our team, the verification of rationality of the measurement method, and the spatial evolution of clusters in mobile scenario are provided.

Key words: massive MIMO, channel measurement, channel model, virtual measurement, cluster

ZHANG Jianhua, WANG Chao, WU Zhongyuan, ZHANG Weite. A Survey of Massive MIMO Channel Measurements and Models[J]. ZTE Communications, 2017, 15(1): 14-22.

Figures/Tables 9

Table 1 Summary of massive MIMO channel measurements proposed in recent two years

Antenna array setup	Scenario	Carrier frequency (GHz)	Channel characteristics	Reference
Tx UPA/Rx ODA 16×16	UMi	3.5 and 2.35	Capacity; eigenvalues	[8]
Tx UPA/Rx ODA 32×56	UMa, O2I	6	Angle spread; delay spread; channel capacity	[40]
Tx UPA/Rx ODA 32×56	O2I	6	Delay spread; angular spread; capacity in different height	[41]
Tx UPA/Rx ODA 32×56	UMa	3.5	The rationality of virtual massive MIMO measurement	[34]
Tx UPA/Rx ODA 32×56	UMa mobility	3.5	Cluster number; cluster-AoA; cluster-AoD; radius of visibility region	[35]
Rx/cylindrical 24×2	O2I, UMi, UMa	2	Capability	[9]
Tx/cylindrical 32×4	indoor	19.85	SNR	[15]
Virtual linear 12×12	lecture hall	5.6	Condition number; delay spread variation	[11]
Tx/virtual circular 24	vehicle to infrastructure	2.6	SIR; power density	[42]
Rx/horn antenna 1	O2I	2.59	Correlation coefficient; SNR	[12]
Rx/2D virtual 12×12	UMa	2.53	Angle delay; angle spread.	[22]
UPA 4×4	indoor	2.4	SNR	[10]
Horizontal 64×1/vertical 1×64	UMa, UMi	2.6	SNR	[43]
Planar 8×8	RMa	5.2	Power; SIR	[44]
Cylindrical	stadium	4.45	PDP of frequency correlation coefficient	[23]
Dipole	similar shopping hall	5.8	Condition number; scalar product	[13]
UCA 64×2	front square	3.33	PDP; PAS	[16]
Virtual 20×20	lecture hall	13-17	Channel gain; K-factor; delay spread; RMS delay spread	[45]
Tx/virtual linear 128×1	hall	2, 4, and 6	PL; PDP	[17]
Tx/ULA 128×8	stadium	1.4725	Channel gains; K-factors; (RMS) composite delay spreads	[7]

Figure 1. Antenna layouts used in our measurement work.

Table 2 The antenna parameters used in our measurement

Parameter		Value
Antenna type		ODA (Rx)	UPA (Tx)
Number of antenna ports		56 (#1-#16 were chosen)	32
Overall radiation pattern		Omnidirectional	Hemispherical
Inter element spacing		41.0 mm	41.0 mm
Number of elements		28	16
Angle range	Azimuth	$- 180 o - 180 o$	$- 70 o - 70 o$
Angle range	Elevation	$- 70 o - 90 o$	$- 70 o - 70 o$
Polarized		$± 45 o$	$± 45 o$
Center frequency		3.5 GHz
Bandwidth		200 MHz
PN sequence		255 chips

Table 2 The antenna parameters used in our measurement

Parameter		Value
Antenna type		ODA (Rx)	UPA (Tx)
Number of antenna ports		56 (#1-#16 were chosen)	32
Overall radiation pattern		Omnidirectional	Hemispherical
Inter element spacing		41.0 mm	41.0 mm
Number of elements		28	16
Angle range	Azimuth	$- 180 o - 180 o$	$- 70 o - 70 o$
Angle range	Elevation	$- 70 o - 90 o$	$- 70 o - 70 o$
Polarized		$± 45 o$	$± 45 o$
Center frequency		3.5 GHz
Bandwidth		200 MHz
PN sequence		255 chips

Figure 2. The overview of the measurement area by Baidu Map (The red triangle is the Tx side; two yellow lines, R1 and R2, represent the measurement route in LoS and non-LoS (NLoS) conditions, respectively; and three red points are in LoS conditions while three blue points are in NLoS conditions).

Figure 3. The scheme of the antenna combining array in the virtual measurement.

Figure 4. The PAS results in the LoS scenario: (a) and (c) represent the results from the practical measurement and (b) and (d) represent the results from the virtual measurement.

Figure 5. The PAS results in the NLoS scenario: (a) and (c) represent the results from the practical measurement and (b) and (d) represent the results from the virtual measurement.

Figure 6. The evolution of clusters along with the measurement route.

Figure 7. The CDFs of radii of VRs in (a) LoS and (b) NLoS conditions.

References 45

[1]	N. Czink, X. Yin, H. Özcelik , et al., “Cluster characteristics in a MIMO indoor propagation environment,” IEEE Transactions on Wireless Communications, vol. 6, no. 4, pp. 1465-1475, Apr. 2007. doi: 10.1109/TWC.2007.05595. DOI URL
[2]	L. Hentilä, M. Alatossava, N. Czink, P. Kyösti , “Cluster-level parameters at 5.25 GHz indoor-to-outdoor and outdoor-to-indoor MIMO radio channels,” in Proc. 16th IST Mobile and Wireless Communication Summit, Budapest, Hungary, 2007, pp. 1-5.
[3]	J. Poutanen, K. Haneda, J. Salmi , et al., “Analysis of radio wave scattering processes for indoor MIMO channel models,” in IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, Japan, 2009, pp. 102-106.
[4]	T. L. Marzetta , “Noncooperative cellular wireless with unlimited numbers of base station antennas,” IEEE Transactions on Wireless Communications, vol. 9, no. 11, pp. 3590-3600, Nov. 2010. doi: 10.1109/TWC.2010.092810.091092. DOI URL
[5]	E. Larsson, O. Edfors, F. Tufvesson, T. Marzetta , “Massive MIMO for next generation wireless systems,” IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, Feb. 2014. doi: 10.1109/MCOM.2014.6736761.
[6]	X. Gao, F. Tufvesson, O. Edfors , “Massive MIMO channels—measurements and models,” in Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2013, pp. 280-284.
[7]	W. Li, L. Liu, C. Tao , et al., “Channel measurements and angle estimation for massive MIMO systems in a stadium,” in 17th International Conference on Advanced Communication Technology (ICACT), Seoul, South Korea, 2015, pp. 105-108.
[8]	Y. Yu, J. Zhang, M. Shafi , et al., “Measurements of 3D channel impulse response for outdoor-to-indoor scenario: capacity predictions for different antenna arrays,” in IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, China, 2015, pp. 408-413.
[9]	G. Liu, X. Hou, F. Wang , et al., “Achieving 3D-MIMO with massive antennas from theory to practice with evaluation and field trial results,” IEEE Systems Journal, vol. PP, no. 99, pp. 1-10, Apr. 2016. doi: 10.1109/JSYST.2015.2477503.
[10]	W. J. Liao, B. Y. Dai, B. R. Hsiao , “Effective diversity gain evaluation for large-scale MIMO antenna system,” IEEE Antennas and Wireless Propagation Letters, vol. 15, pp. 1394-1397, 2016. DOI URL
[11]	J. Li and Y. Zhao , “Channel characterization and modeling for large-scale antenna systems,” in 14th International Symposium on Communications and Information Technologies (ISCIT), Incheon, South Korea, 2014, pp. 559-563.
[12]	M. Gauger, J. Hoydis, C. Hoek , et al., “Channel measurements with different antenna array geometries for massive MIMO systems,” in 10th International ITG Conference on Systems, Communications and Coding, Hamburg, Germany, 2015, pp. 1-6.
[13]	A. O. Martinez, E. De Carvalho, J. O. Nielsen, L. Jing , “Frequency dependence of measured massive MIMO channel properties,” in IEEE 83rd Vehicular Technology Conference (VTC Spring), Nanjing, China, 2016, pp. 1-5.
[14]	X. Gao, O. Edfors, F. Tufvesson, E. G. Larsson , “Multi-switch for antenna selection in massive MIMO,” in IEEE Global Communications Conference (GLOBECOM), San Diego, USA, 2015, pp. 1-6.
[15]	R. Kataoka, K. Nishimori, N. Tran, T. Imai , “Basic performance of massive MIMO in indoor scenario at 20-GHz band,” in International Symposium on Antennas and Propagation (ISAP), Hobart, Tasmania, 2015, pp. 1-4.
[16]	D. Fei, R. He, B. Ai , et al., “Massive MIMO channel measurements and analysis at 3.33 GHz,” in 10th International Conference on Communications and Networking in China (ChinaCom), Shanghai, China, 2015, pp. 194-198.
[17]	J. Li, B. Ai, R. He , et al., “Measurement-based characterizations of indoor massive MIMO channels at 2 GHz, 4 GHz, and 6 GHz frequency bands,” in IEEE 83rd Vehicular Technology Conference (VTC Spring), Nanjing, China, 2016, pp. 1-5.
[18]	L. Liu, C. Tao, D. W. Matolak , et al., “Stationarity investigation of a LOS massive MIMO channel in stadium scenarios,” in IEEE 82nd Vehicular Technology Conference (VTC Fall), Boston, USA, 2015, pp. 1-5.
[19]	J. Flordelis, X. Gao, G. Dahman , et al., “Spatial separation of closely-spaced users in measured massive multi-user MIMO channels,” in IEEE International Conference on Communications (ICC), London, UK, 2015, pp. 1441-1446.
[20]	X. Gao, O. Edfors, F. Rusek, F. Tufvesson , “Massive MIMO performance evaluation based on measured propagation data,” IEEE Transactions on Wireless Communications, vol. 14, no. 7, pp. 3899-3911, Jul. 2015. DOI URL
[21]	J. Vieira, S. Malkowsky, K. Nieman , et al., “A flexible 100-antenna testbed for Massive MIMO,” in IEEE Globecom Workshops (GC Wkshps), Austin, USA, 2014, pp. 287-293.
[22]	S. Sangodoyin, V. Kristem, C. U. Bas , et al., “Cluster-based analysis of 3D MIMO channel measurement in an urban environment,” in IEEE Military Communications Conference (MILCOM 2015), Tampa, USA, 2015, pp. 744-749.
[23]	Y. Lu, C. Tao, L. Liu , et al., “Frequency correlation investigation of massive MIMO channels in a stadium at 4.45 GHz,” in 17th International Conference on Advanced Communication Technology (ICACT), Seoul, South Korea, 2015, pp. 271-274.
[24]	L. Liu, D. W. Matolak, C. Tao , et al., “Geometry based large scale attenuation over linear massive MIMO systems,” in 2016 10th European Conference on Antennas and Propagation (EuCAP), Davos, Switzerland, 2016, pp. 1-5.
[25]	Q. U. A. Nadeem, A. Kammoun, M. Debbah and M. S. Alouini, . “On the mutual information of 3D massive MIMO systems: an asymptotic approach,” in 2015 IEEE International Symposium on Information Theory (ISIT), Hong Kong, China, 2015, pp. 2588-2592.
[26]	X. Cheng, B. Yu, L. Yang , et al., “Communicating in the real world: 3D MIMO,” IEEE Wireless Communications, vol. 21, no. 4, pp. 136-144, Aug. 2014. doi: 10.1109/MWC.2014.6882306.
[27]	Y. Xie, B. Li, X. Zuo, M. Yang, Z. Yan , “A 3D geometry-based stochastic model for 5G massive MIMO channels,” in 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE), Taipei, China, Aug. 2015, pp. 216-222.
[28]	S. Wu, C. X. Wang, e. H. M. Aggoune, M. M. Alwakeel and Y. He, . “A non-stationary 3-D wideband twin-cluster model for 5G massive MIMO channels,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1207-1218, Jun. 2014. doi: 10.1109/JSAC.2014.2328131. DOI URL
[29]	S. Wu, C. X. Wang, E. H. M. Aggoune and M. M. Alwakeel . “A novel Kronecker-based stochastic model for massive MIMO channels,” in IEEE/CIC International Conference on Communications in China (ICCC), Shenzhen, China, 2015, pp. 1-6.
[30]	Technical Specification Group Radio Access Network; Study on 3D channel model for LTE (Release 12. 2.0), 3GPP TR 36.873, 2015.
[31]	B. Fleury, M. Tschudin, R. Heddergott, D. Dahlhaus, K. Ingeman Pedersen , “Channel parameter estimation in mobile radio environments using the SAGE algorithm,” IEEE Journal on Selected Areas in Communications, vol. 17, no. 3, pp. 434-450, 1999. DOI URL
[32]	D. Du, J. Zhang, C. Pan, C. Zhang , “Cluster characteristics of wideband 3D MIMO channels in outdoor-to-indoor scenario at 3.5 GHz,” in IEEE 79th Vehicular Technology Conference, Seoul, South Korea, 2014, pp. 1-6.
[33]	C. Huang, J. Zhang, X. Nie, Y. Zhang , “Cluster characteristics of wideband MIMO channel in indoor hotspot scenario at 2.35GHz,” in IEEE 70th Vehicular Technology Conference Fall (VTC 2009-Fall), Anchorage, USA, 2009, pp. 1-5.
[34]	H. Yu, J. Zhang, Q. Zheng , et al., “The rationality analysis of massive MIMO virtual measurement at 3.5 GHz,” in IEEE/CIC International Conference on Communications in China (ICCC Workshops), Chengdu, China, 2016, pp. 1-5.
[35]	C. Wang, J. Zhang, L. Tian, M. Liu, Y. Wu , “The Spatial evolution of clusters in massive MIMO mobile measurement at 3.5 GHz,” presented at VTC2017-Spring, 2017 IEEE 85th Vehicular Technology Conference, Sydney, Australia, 2017.
[36]	N. Czink , “The random-cluster model—a stochastic MIMO channel model for broadband wireless communication systems of the 3rd generation and beyond,” Dissertation, Telecommunications Research Center Vienna (FTW), 2007.
[37]	A. F. Molisch, H. Asplund, R. Heddergott, M. Steinbauer, T. Zwick , “The COST259 directional channel model—part I: overview and methodology,” IEEE Transactions on Wireless Communications, vol. 5, no. 12, pp. 3421-3433, Dec. 2006. DOI URL
[38]	R. Verdone and A. Zanella , Pervasive Mobile and Ambient Wireless Communications: COST Action 2100. London, UK: Springer-Verlag, 2012.
[39]	J. Poutanen, K. Haneda, J. Salmi, V. M. Kolmonen, P. Vainikainen , “Modeling the evolution of number of clusters in indoor environments,” in Proc. 4th European Conference on Antennas and Propagation, Barcelona, Spain, Apr. 2010, pp. 1-5.
[40]	Y. Zhang, L. Tian, Y. Yu , et al., “3D MIMO channel characteristics and capacity evaluation for different dynamic ranges in outdoor-to-indoor scenario for 6 GHz,” presented at IEEE 84th Vehicular Technology Conference VTC2016-Fall, Montreal, Canada, 2016.
[41]	Q. Zheng, J. Zhang, H. Yu, Y. Zhang and L. Tian , “Propagation statistic characteristic of 3D MIMO channel in outdoor-to-indoor scenario with different antenna heights”, presented at 19th International Symposium on Wireless Personal Multimedia Communications (WPMC 2016), Shenzhen, China, 2015, accepted.
[42]	R. Zhang, Z. Zhong, J. Zhao, B. Li, K. Wang , “Channel measurement and packet-level modeling for V2I spatial multiplexing uplinks using massive MIMO,” IEEE Transactions on Vehicular Technology, vol. 65, no. 10, pp. 7831-7843, Oct. 2016. DOI URL
[43]	S. Zhang, A. Doufexi, A. Nix , “Evaluating realistic performance gains of massive multi-user MIMO system in urban city deployments,” in 23rd International Conference on Telecommunications (ICT), Thessaloniki, Greece, 2016, pp. 1-6.
[44]	K. Maruta, A. Ohta, S. Kurosaki, T. Arai, M. Iizuka , “Experimental investigation of space division multiplexing on massive antenna systems,” in IEEE International Conference on Communications (ICC), London, UK, 2015, pp. 2042-2047.
[45]	J. Chen, X. Yin, S. Wang , “Measurement-based massive MIMO channel modeling in 13-17 GHz for indoor hall scenarios,” in 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016, pp. 1-5. doi: 10.1109/ACCESS.2017.2652983.

A Survey of Massive MIMO Channel Measurements and Models

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