On the Performance of Spatially Correlated Large Antenna Arrays for Millimeter-Wave Frequencies

A spatially correlated large antenna array operating at millimeter-wave (mmWave) frequencies is considered. Based on a Saleh–Valenzuela channel model, closed-form expressions of the 3-D spatial correlation (SC) for wide, narrow, and Von Mises power elevation spectra (PESs) are analytically derived. The effects of the PES on the convergence to massive multiple-input-multiple-output properties are then illustrated by defining and deriving a diagonal dominance metric. Numerically, the effects of antenna element mutual coupling (MC) are shown on the effective SC, eigenvalue structure, and mmWave user rate for different antenna topologies. It is concluded that although MC can significantly reduce SC for side-by-side dipole antenna elements, the change in antenna effective gain (and, therefore, signal-to-noise ratio) caused by MC becomes a dominating effect and ultimately determines the antenna array performance. The user rate of an mmWave system with hybrid beamforming, using an orthogonal matching pursuit (OMP) algorithm, is then shown for different antenna topologies with dipole and cross-polarized (x-pol) antenna elements. It is seen that even for small numbers of radio frequency chains, the OMP algorithm works well relative to the fully digital case for channels with high SC, such as the x-pol antenna array.

[1]  Josef A. Nossek,et al.  Toward a Circuit Theory of Communication , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[2]  Theodore S. Rappaport,et al.  Investigation and Comparison of 3GPP and NYUSIM Channel Models for 5G Wireless Communications , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[3]  S. Attallah,et al.  Effects of antenna mutual coupling on the performance of MIMO systems , 2008 .

[4]  Claude Oestges,et al.  Impact of Antenna Coupling on 2 $\times$ 2 MIMO Communications , 2007, IEEE Transactions on Vehicular Technology.

[5]  Michael A. Jensen,et al.  Mutual coupling in MIMO wireless systems: a rigorous network theory analysis , 2004, IEEE Transactions on Wireless Communications.

[6]  Mohamed-Slim Alouini,et al.  A Generalized Spatial Correlation Model for 3D MIMO Channels Based on the Fourier Coefficients of Power Spectrums , 2015, IEEE Transactions on Signal Processing.

[7]  Robert W. Heath,et al.  Simplified Spatial Correlation Models for Clustered MIMO Channels With Different Array Configurations , 2007, IEEE Transactions on Vehicular Technology.

[8]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[9]  J. Wallace,et al.  Power and complex envelope correlation for modeling measured indoor MIMO channels: a beamforming evaluation , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[10]  A. Lee Swindlehurst,et al.  Millimeter-wave massive MIMO: the next wireless revolution? , 2014, IEEE Communications Magazine.

[11]  Theodore S. Rappaport,et al.  Local multipath model parameters for generating 5G millimeter-wave 3GPP-like channel impulse response , 2015, 2016 10th European Conference on Antennas and Propagation (EuCAP).

[12]  Theodore S. Rappaport,et al.  Millimeter Wave Channel Modeling and Cellular Capacity Evaluation , 2013, IEEE Journal on Selected Areas in Communications.

[13]  John S. Thompson,et al.  Three-dimensional spatial fading correlation models for compact MIMO receivers , 2005, IEEE Transactions on Wireless Communications.

[14]  Theodore S. Rappaport,et al.  Broadband Millimeter-Wave Propagation Measurements and Models Using Adaptive-Beam Antennas for Outdoor Urban Cellular Communications , 2013, IEEE Transactions on Antennas and Propagation.

[15]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[16]  Robert W. Brodersen,et al.  Degrees of freedom in multiple-antenna channels: a signal space approach , 2005, IEEE Transactions on Information Theory.

[17]  Theodore S. Rappaport,et al.  Omnidirectional path loss models in New York City at 28 GHz and 73 GHz , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[18]  Theodore S. Rappaport,et al.  Proposal on Millimeter-Wave Channel Modeling for 5G Cellular System , 2016, IEEE Journal of Selected Topics in Signal Processing.

[19]  Fredrik Tufvesson,et al.  5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice , 2017, IEEE Journal on Selected Areas in Communications.

[20]  Desmond P. Taylor,et al.  A Statistical Model for Indoor Multipath Propagation , 2007 .

[21]  R. Janaswamy Effect of element mutual coupling on the capacity of fixed length linear arrays , 2002, IEEE Antennas and Wireless Propagation Letters.

[22]  P. Vainikainen,et al.  Measurement-Based Analysis of Spatial Degrees of Freedom in Multipath Propagation Channels , 2013, IEEE Transactions on Antennas and Propagation.

[23]  Tharmalingam Ratnarajah,et al.  Large-Scale MIMO Transmitters in Fixed Physical Spaces: The Effect of Transmit Correlation and Mutual Coupling , 2013, IEEE Transactions on Communications.

[24]  Mansoor Shafi,et al.  On the impact of antenna topologies for massive MIMO systems , 2015, 2015 IEEE International Conference on Communications (ICC).

[25]  A.F. Molisch,et al.  Capacity analysis for compact MIMO systems , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[26]  Robert W. Heath,et al.  Spatially Sparse Precoding in Millimeter Wave MIMO Systems , 2013, IEEE Transactions on Wireless Communications.

[27]  Erik G. Larsson,et al.  Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems , 2011, IEEE Transactions on Communications.

[28]  Hüseyin Arslan,et al.  Dynamics of spatial correlation and implications on MIMO systems , 2004, IEEE Communications Magazine.

[29]  Mansoor Shafi,et al.  On the convergence of massive MIMO systems , 2014, 2014 IEEE International Conference on Communications (ICC).

[30]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[31]  Tharmalingam Ratnarajah,et al.  Performance Analysis of Large Multiuser MIMO Systems With Space-Constrained 2-D Antenna Arrays , 2016, IEEE Transactions on Wireless Communications.

[32]  Fredrik Tufvesson,et al.  Polarized MIMO channels in 3-D: models, measurements and mutual information , 2006, IEEE Journal on Selected Areas in Communications.

[33]  Rodney A. Kennedy,et al.  3D Spatial Fading Correlation for Uniform Angle of Arrival Distribution , 2015, IEEE Communications Letters.

[34]  Akbar M. Sayeed,et al.  Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements , 2013, IEEE Transactions on Antennas and Propagation.

[35]  Ralf R. Müller,et al.  Load modulated arrays: a low-complexity antenna , 2016, IEEE Communications Magazine.

[36]  Xiang Cheng,et al.  Three-dimensional fading channel models: A survey of elevation angle research , 2014, IEEE Communications Magazine.

[37]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[38]  Robert W. Heath,et al.  An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems , 2015, IEEE Journal of Selected Topics in Signal Processing.

[39]  Reiner S. Thomä,et al.  Capacity of MIMO systems based on measured wireless channels , 2002, IEEE J. Sel. Areas Commun..

[40]  Theodore S. Rappaport,et al.  3-D statistical channel model for millimeter-wave outdoor mobile broadband communications , 2015, 2015 IEEE International Conference on Communications (ICC).

[41]  Antonia Maria Tulino,et al.  Impact of antenna correlation on the capacity of multiantenna channels , 2005, IEEE Transactions on Information Theory.

[42]  Theodore S. Rappaport,et al.  Ultra-wideband statistical channel model for non line of sight millimeter-wave urban channels , 2014, 2014 IEEE Global Communications Conference.

[43]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..

[44]  Theodore S. Rappaport,et al.  Radiocommunications , 1967, Revue Internationale de la Croix-Rouge.

[45]  Theodore S. Rappaport,et al.  3D mmWave Channel Model Proposal , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[46]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[47]  Theodore S. Rappaport,et al.  Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design , 2015, IEEE Transactions on Communications.

[48]  Robert W. Heath,et al.  Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems , 2014, IEEE Journal of Selected Topics in Signal Processing.

[49]  Holger Claussen,et al.  Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments , 2015, IEEE Communications Surveys & Tutorials.

[50]  Jeffrey G. Andrews,et al.  Modeling and Analyzing Millimeter Wave Cellular Systems , 2016, IEEE Transactions on Communications.

[51]  J. H. Winters,et al.  Effect of fading correlation on adaptive arrays in digital mobile radio , 1994 .

[52]  Yang Li,et al.  3D channel model in 3GPP , 2015, IEEE Communications Magazine.

[53]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[54]  A. Nix,et al.  Mutual coupling in multi-element array antennas and its influence on MIMO channel capacity , 2003 .

[55]  Michael A. Jensen,et al.  Modeling the indoor MIMO wireless channel , 2002 .