Ultra-Massive MIMO Channel Measurements at 5.3 GHz and a General 6G Channel Model

Ultra-massive multiple-input multiple-output (MIMO) technology will bring unique channel characteristics that need to be fully explored through channel measurements and channel modeling. In this paper, single-user and multi-user channel measurements using ultra-massive MIMO antenna arrays with different configurations are conducted at 5.3 GHz band. The non-stationarity, spherical wavefront, channel hardening, and sparse properties are validated by the channel measurements. Correspondingly, a general three-dimensional (3D) sixth generation (6G) non-stationary geometry-based stochastic model (GBSM) for ultra-massive MIMO communication systems is proposed. The statistical properties of channel measurements and the corresponding channel model are studied, including delay power spectral density (PSD), angular PSD, spatial cross-correlation function (SCCF), normalized user-side correlation matrix, singular value spread (SVS), degrees of freedom (DoF), and diversity level. In addition, channel capacities of channel measurements and the corresponding channel model are studied. The accuracy of the proposed general channel model is validated by the consistency of simulation results and measurement results, which indicates that the proposed model can be applied to ultra-massive MIMO communication systems.

[1]  Chengxiang Wang,et al.  Pervasive Wireless Channel Modeling Theory and Applications to 6G GBSMs for All Frequency Bands and All Scenarios , 2022, IEEE Transactions on Vehicular Technology.

[2]  B. Ai,et al.  A 3D Geometry-Based THz Channel Model for 6G Ultra Massive MIMO Systems , 2022, IEEE Transactions on Vehicular Technology.

[3]  Cheng-Xiang Wang,et al.  A 3D Non-Stationary Wideband Massive MIMO Channel Model Based on Ray-Level Evolution , 2021, IEEE Transactions on Communications.

[4]  Jie Zhou,et al.  Three-Dimensional Geometry-Based Stochastic Channel Modeling for Intelligent Reflecting Surface-Assisted UAV MIMO Communications , 2021, IEEE Wireless Communications Letters.

[5]  Ziwei Huang,et al.  A 3D Cluster-Based Channel Model for 5G and Beyond Vehicle-to-Vehicle Massive MIMO Channels , 2021, IEEE Transactions on Vehicular Technology.

[6]  Xiaohu You,et al.  A Novel 3D Non-Stationary GBSM for 6G THz Ultra-Massive MIMO Wireless Systems , 2021, IEEE Transactions on Vehicular Technology.

[7]  Bo Ai,et al.  Wireless Channel Sparsity: Measurement, Analysis, and Exploitation in Estimation , 2021, IEEE Wireless Communications.

[8]  Bo Ai,et al.  Non-Stationary Vehicular Channel Characterization in Complicated Scenarios , 2021, IEEE Transactions on Vehicular Technology.

[9]  Hengtai Chang,et al.  A Novel Nonstationary 6G UAV-to-Ground Wireless Channel Model With 3-D Arbitrary Trajectory Changes , 2021, IEEE Internet of Things Journal.

[10]  Xiqi Gao,et al.  A General 3D Space-Time-Frequency Non-Stationary THz Channel Model for 6G Ultra-Massive MIMO Wireless Communication Systems , 2021, IEEE Journal on Selected Areas in Communications.

[11]  Jie Zhou,et al.  Channel Modeling and Characteristics for 6G Wireless Communications , 2021, IEEE Network.

[12]  Shuguang Cui,et al.  Measuring Sparsity of Wireless Channels , 2021, IEEE Transactions on Cognitive Communications and Networking.

[13]  Xiaohu You,et al.  A General 3D Non-Stationary Wireless Channel Model for 5G and Beyond , 2021, IEEE Transactions on Wireless Communications.

[14]  Cheng-Xiang Wang,et al.  A General 3D Non-Stationary Massive MIMO GBSM for 6G Communication Systems , 2021, 2021 IEEE Wireless Communications and Networking Conference (WCNC).

[15]  Erik G. Larsson,et al.  Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts , 2020, Science China Information Sciences.

[16]  Chengxiang Wang,et al.  A Study of 2D Non-Stationary Massive MIMO Channels by Transformation of Delay and Angular Power Spectral Densities , 2020, IEEE Transactions on Vehicular Technology.

[17]  Xiqi Gao,et al.  6G Wireless Channel Measurements and Models: Trends and Challenges , 2020, IEEE Vehicular Technology Magazine.

[18]  Gongpu Wang,et al.  Impact of UAV Rotation on MIMO Channel Characterization for Air-to-Ground Communication Systems , 2020, IEEE Transactions on Vehicular Technology.

[19]  Bo Ai,et al.  A Cluster-Based Channel Model for Massive MIMO Communications in Indoor Hotspot Scenarios , 2019, IEEE Transactions on Wireless Communications.

[20]  Yu Liu,et al.  Novel 3-D Nonstationary MmWave Massive MIMO Channel Models for 5G High-Speed Train Wireless Communications , 2019, IEEE Transactions on Vehicular Technology.

[21]  Ping Zhang,et al.  Recent Research on Massive MIMO Propagation Channels: A Survey , 2018, IEEE Communications Magazine.

[22]  Petar Popovski,et al.  An Experimental Study of Massive MIMO Properties in 5G Scenarios , 2018, IEEE Transactions on Antennas and Propagation.

[23]  Cheng-Xiang Wang,et al.  A Survey of 5G Channel Measurements and Models , 2018, IEEE Communications Surveys & Tutorials.

[24]  Xiaohu You,et al.  A General 3-D Non-Stationary 5G Wireless Channel Model , 2018, IEEE Transactions on Communications.

[25]  Gerd Sommerkorn,et al.  Cluster Characterization of 3-D MIMO Propagation Channel in an Urban Macrocellular Environment , 2018, IEEE Transactions on Wireless Communications.

[26]  Xuefeng Yin,et al.  Hough-Transform-Based Cluster Identification and Modeling for V2V Channels Based on Measurements , 2018, IEEE Transactions on Vehicular Technology.

[27]  Cheng-Xiang Wang,et al.  Novel 3-D Non-Stationary Wideband Models for Massive MIMO Channels , 2018, IEEE Transactions on Wireless Communications.

[28]  Hao Jiang,et al.  A Novel 3-D Massive MIMO Channel Model for Vehicle-to-Vehicle Communication Environments , 2018, IEEE Transactions on Communications.

[29]  Emil Björnson,et al.  Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency , 2018, Found. Trends Signal Process..

[30]  Jianhua Zhang,et al.  Capacity analysis based on channel measurements of massive MU-MIMO System at 3.5 GHz , 2017, 2017 3rd IEEE International Conference on Computer and Communications (ICCC).

[31]  Jianhua Zhang,et al.  3-D MIMO: How Much Does It Meet Our Expectations Observed From Channel Measurements? , 2017, IEEE Journal on Selected Areas in Communications.

[32]  Cheng Tao,et al.  Research on Propagation Characteristics of Massive MIMO Channel at 1.4725GHz , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

[33]  Jianhua Zhang,et al.  The variation of clusters with increasing number of antennas by virtual measurement , 2017, 2017 11th European Conference on Antennas and Propagation (EUCAP).

[34]  Elisabeth de Carvalho,et al.  Massive MIMO properties based on measured channels: Channel hardening, user decorrelation and channel sparsity , 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

[35]  Xiaohu You,et al.  Area Spectral Efficiency and Area Energy Efficiency of Massive MIMO Cellular Systems , 2016, IEEE Transactions on Vehicular Technology.

[36]  Xuefeng Yin,et al.  Performance Comparison of SAGE and MUSIC for Channel Estimation in Direction-Scan Measurements , 2016, IEEE Access.

[37]  Gerd Sommerkorn,et al.  Cluster-based analysis of 3D MIMO channel measurement in an urban environment , 2015, MILCOM 2015 - 2015 IEEE Military Communications Conference.

[38]  Zhongjiang Yan,et al.  A 3D geometry-based stochastic model for 5G massive MIMO channels , 2015, 2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE).

[39]  Liu Liu,et al.  Channel measurements and angle estimation for massive MIMO systems in a stadium , 2015, 2015 17th International Conference on Advanced Communication Technology (ICACT).

[40]  Cheng-Xiang Wang,et al.  A Non-Stationary Wideband Channel Model for Massive MIMO Communication Systems , 2015, IEEE Transactions on Wireless Communications.

[41]  Fredrik Tufvesson,et al.  Massive MIMO Performance Evaluation Based on Measured Propagation Data , 2014, IEEE Transactions on Wireless Communications.

[42]  Fredrik Tufvesson,et al.  Large antenna array and propagation environment interaction , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[43]  Cheng-Xiang Wang,et al.  A Non-Stationary 3-D Wideband Twin-Cluster Model for 5G Massive MIMO Channels , 2014, IEEE Journal on Selected Areas in Communications.

[44]  Erik G. Larsson,et al.  Aspects of favorable propagation in Massive MIMO , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

[45]  Jinhui Chen,et al.  When does asymptotic orthogonality exist for very large arrays? , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[46]  Fredrik Tufvesson,et al.  Delay spread properties in a measured massive MIMO system at 2.6 GHz , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[47]  Fredrik Tufvesson,et al.  Massive MIMO channels — Measurements and models , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[48]  Fredrik Tufvesson,et al.  Measured propagation characteristics for very-large MIMO at 2.6 GHz , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[49]  F. Tufvesson,et al.  Channel measurements and analysis for very large array systems at 2.6 GHz , 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).

[50]  Paolo Santi,et al.  A Two-Dimensional Geometry-Based Stochastic Model , 2012, IEEE Transactions on Wireless Communications.

[51]  Josef A. Nossek,et al.  On the condition number distribution of complex wishart matrices , 2010, IEEE Transactions on Communications.

[52]  Josef A. Nossek,et al.  Sparse multipath MIMO channels: Performance implications based on measurement data , 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

[53]  A. Molisch,et al.  Spatial Diversity and Spatial Correlation Evaluation of Measured Vehicle-to-Vehicle Radio Channels at 5.2 GHz , 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

[54]  David Gesbert,et al.  From theory to practice: an overview of MIMO space-time coded wireless systems , 2003, IEEE J. Sel. Areas Commun..

[55]  Akbar M. Sayeed,et al.  Deconstructing multiantenna fading channels , 2002, IEEE Trans. Signal Process..

[56]  Klaus I. Pedersen,et al.  High resolution of electromagnetic waves in time-varying radio channels , 1997, Proceedings of 8th International Symposium on Personal, Indoor and Mobile Radio Communications - PIMRC '97.