Map-Based Channel Model for Evaluation of 5G Wireless Communication Systems

This paper presents a channel model for the fifth generation air interface evaluations. The described model covers frequency bands from typical cellular frequencies up to millimeter waves and a variety of different environments, with emphasis on the urban outdoor. The model enables assessment of single radio links with, e.g., the massive multiple-input-multiple-output (MIMO) and very large antenna arrays, device-to-device links with both link ends moving, up to system level evaluations with a multitude of different types of transceivers. In addition to the overview, some selected model features are described in more detail. Also, a few exemplary model outputs are depicted and discussed. A comparison to corresponding geometry-based stochastic model is performed in urban outdoor environment with the second moment distributions of propagation parameters and with the multiuser (MU) MIMO sum rate capacity. The simulations indicate substantial differences in MU-MIMO performances between the models.

[1]  Pekka Kyosti,et al.  Validation of 5G METIS map-based channel model at mmwave bands in indoor scenarios , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).

[2]  P. Azzi,et al.  An advanced field prediction model including diffuse scattering , 2004, IEEE Transactions on Antennas and Propagation.

[3]  Matti Latva-aho,et al.  Vehicle-to-vehicle radio channel characterization in urban environment at 2.3 GHz and 5.25 GHz , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[4]  Andreas F. Molisch,et al.  Spatially consistent pathloss modeling for millimeter-wave channels in urban environments , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).

[5]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[6]  R. Clark Jones,et al.  A New Calculus for the Treatment of Optical SystemsIII. The Sohncke Theory of Optical Activity , 1941 .

[7]  J.-E. Berg,et al.  A recursive method for street microcell path loss calculations , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[8]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[9]  J. Medbo,et al.  Channel modeling for the stationary UE scenario , 2013, 2013 7th European Conference on Antennas and Propagation (EuCAP).

[10]  R. Kouyoumjian,et al.  A uniform geometrical theory of diffraction for an edge in a perfectly conducting surface , 1974 .

[11]  H. Bertoni,et al.  A new approach to 3-D ray tracing for propagation prediction in cities , 1998 .

[12]  Rodney G. Vaughan,et al.  Channels, Propagation and Antennas for Mobile Communications , 2003 .

[13]  R. Jones A New Calculus for the Treatment of Optical Systems. IV. , 1942 .

[14]  Theodore S. Rappaport,et al.  3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design , 2016, IEEE Transactions on Microwave Theory and Techniques.

[15]  Raymond Knopp,et al.  Correlation and capacity of measured multi-user MIMO channels , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[16]  R. Luebbers Finite conductivity uniform GTD versus knife edge diffraction in prediction of propagation path loss , 1984 .

[17]  Sundeep Rangan,et al.  ns-3 Implementation of the 3GPP MIMO Channel Model for Frequency Spectrum above 6 GHz , 2017, WNS3.

[18]  K. Borner,et al.  Channel modelling for the fifth generation mobile communications , 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).

[19]  Theodore S. Rappaport,et al.  A ray tracing method for predicting path loss and delay spread in microcellular environments , 1992, [1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology.

[20]  Jose F. Monserrat,et al.  5G Mobile and Wireless Communications Technology , 2016 .

[21]  Antti Roivainen,et al.  Validation of Deterministic Radio Channel Model by 10 GHz Microcell Measurements , 2016 .

[22]  Jonas Medbo,et al.  Radio propagation modeling for 5G mobile and wireless communications , 2016, IEEE Communications Magazine.

[23]  Xuefeng Yin,et al.  Cluster Characteristics in a MIMO Indoor Propagation Environment , 2007, IEEE Transactions on Wireless Communications.

[24]  Theodore S. Rappaport,et al.  Site-specific propagation prediction for wireless in-building personal communication system design , 1994 .

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

[26]  Lassi Hentila,et al.  Elevation extension for a geometry-based radio channel model and its influence on MIMO antenna correlation and gain imbalance , 2011, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP).

[27]  Matti Latva-aho,et al.  Multiple-Screen Diffraction Measurement at 10–18 GHz , 2017, IEEE Antennas and Wireless Propagation Letters.

[28]  H. Bertoni,et al.  A theoretical model of UHF propagation in urban environments , 1988 .

[29]  Jonas Medbo,et al.  5G Channel Models in mm-Wave Frequency Bands , 2016 .

[30]  Afroza Khatun,et al.  Radio Propagation Measurements and WINNER II Parameterization for a Shopping Mall at 60 GHz , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).