University of Oulu

Kyösti, P., Lehtomäki, J., Medbo, J., Latva-aho, M. (2017) Map-Based Channel Model for Evaluation of 5G Wireless Communication Systems. IEEE Transactions on Antennas and Propagation, 99. doi:10.1109/TAP.2017.2754443

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

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Author: Kyösti, Pekka1,2; Lehtomäki, Janne1; Medbo, Jonas3;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Oulu, FI-90014 Finland
2Keysight Technologies Finland Oy, Oulu, Finland
3Ericsson Research, Ericsson AB, 164 80 Stockholm, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2017112250835
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2017-11-22
Description:

Abstract

This paper presents a channel model for the fifth generation (5G) air interface evaluations. The described model covers frequency bands from typical cellular frequencies up to millimetre 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-multipleoutput (MIMO) and very large antenna arrays, device-to-device (D2D) 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 few exemplary model outputs are depicted and discussed. A comparison to corresponding geometry based stochastic model (GSCM) is performed in urban outdoor environment with the second moment distributions of propagation parameters and with the multi-user (MU) MIMO sum rate capacity. The simulations indicate substantial differences in MUMIMO performances between the models.

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Series: IEEE transactions on antennas and propagation
ISSN: 0018-926X
ISSN-E: 1558-2221
ISSN-L: 0018-926X
Volume: 99
Pages: Early Access Articles -
DOI: 10.1109/TAP.2017.2754443
OADOI: https://oadoi.org/10.1109/TAP.2017.2754443
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The part of this research performed at University of Oulu has been supported by Finnish Funding Agency for Technology and Innovation (Tekes), Huawei Technologies, Nokia and Anite Telecoms/Keysight Technologies Finland Oy.
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