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Implementation and Calibration of the 3GPP Industrial Channel Model for ns-3

Authors: Ramos, Andrea; Estrada, Yanet; Cantero, Miguel; Romero, Jaime; Martín-Sacristán, David; Inca, Saúl; Fuentes, Manuel; +1 Authors

Implementation and Calibration of the 3GPP Industrial Channel Model for ns-3

Abstract

The Fifth Generation (5G) of mobile communications has brought a change of paradigm in the way cellular technologies are conceived. 5G has been designed to provide services not only to people, but also to industries and verticals. One of the verticals that will benefit most from the 5G is the Industry 4.0. Channel modeling for this vertical is receiving significant attention, mainly due to the increased complexity that comes with multipath fading scenarios. In order to overcome this problem, the Third Generation Partnership Project (3GPP) defined a new stochastic channel model as part of Release-16, called Indoor Factory (InF). This paper describes the implementation process of this channel model as an extension tool for one of the most wellknown open-source software simulators, ns-3. Calibration results have been obtained and compared with other 3GPP references. This work permits to use ns-3 as a reliable tool for evaluating new industrial scenarios and use cases.

Keywords

indoor factory, ns-3, channel modeling, 3GPP, calibration

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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