University of Oulu

A. Roivainen et al., "Parametrization and Validation of Geometry-Based Stochastic Channel Model for Urban Small Cells at 10 GHz," in IEEE Transactions on Antennas and Propagation, vol. 65, no. 7, pp. 3809-3814, July 2017. doi: 10.1109/TAP.2017.2700878

Parametrization and validation of geometry-based stochastic channel model for urban small cells at 10 GHz

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Author: Roivainen, Antti1,2; Kyösti, Pekka1,2; Ferreira Dias, Claudio3;
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2Keysight Technologies Finland Oy, 90590 Oulu, Finland
3Faculty of Electrical Engineering and Computation, University of Campinas, Campinas 13083-970, Brazil
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.8 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-06


We derive a full measurement-based parametrization for a 3-D geometry-based stochastic channel model for an urban microcell type of environment at 10 GHz. The measurements were performed with a vector network analyzer and dual polarized virtual arrays at the bandwidth of 500 MHz. The proposed parametrization is validated by channel simulations. Multiple-input multiple-output channel is reconstructed from the measured data and compared with channel generated by the quasi deterministic radio channel generator using the proposed statistical parameters. The capacity and eigenvalue distribution are used as the validation metrics, showing almost perfect match between the reconstructed and simulated channels.

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Series: IEEE transactions on antennas and propagation
ISSN: 0018-926X
ISSN-E: 1558-2221
ISSN-L: 0018-926X
Volume: 65
Issue: 7
Pages: 3809 - 3814
DOI: 10.1109/TAP.2017.2700878
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research was supported in part by the Finnish Funding Agency for Technology and Innovation (Tekes), in part by Huawei Technologies, in part by Nokia, and in part by Keysight Technologies, Finland.
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