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Title in Portuguese: A CDL-based channel model with dual-polarized antennas for 5G MIMO systems in rural remote areas
Author: Pessoa, Alexandre Matos
Sokal, Bruno
Silva, Carlos Filipe Moreira e
Maciel, Tarcísio Ferreira
Almeida, André Lima Férrer de
Cavalcanti, Francisco Rodrigo Porto
Keywords: Channel modeling
Remote rural areas
Dual-Polarized antennas
Issue Date: 2020
Publisher: IEEE Acess
Citation: CAVALCANTI, F. R. P. et al. A CDL-based channel model with dual-polarized antennas for 5G MIMO systems in rural remote areas. IEEE Acess, vol. 8, p. 163366-163379, 2020
Abstract: In the fifth-generation 5G mobile networks, it is expected that users experience high throughputs with an ultra-low-latency network, while a massive number of devices are connected to the network. However, in remote rural areas, there is still a large number of people that do not have access to broadband Internet. To overcome this issue, a possible strategy is to exploit the excellent propagation conditions of very high frequency (VHF) and ultra-high frequency (UHF) bands by allowing secondary spectrum reuse in the TV white space (TVWS) channels. But for that, a reliable channel model is required to perform valid coverage and data rate prediction studies. In this paper, a channel model is proposed that takes into account large and small scale fading effects, as well as the particularities of such remote rural areas. The proposed model makes use of measurements along with the clustered delay line CDL profiles from 3rd Generation Partnership Project (3GPP). It is a simple model to implement and can be used to provide fast link and system-level simulations. Numerical and analytical results are provided to validate the proposed model and a data rate evaluation is carried out for single-input single-output (SISO) and multipleinput multiple-output (MIMO) configurations, as well as for single-polarized (SP) and dual-polarized (DP) antennas.
metadata.dc.type: Artigo de Periódico
ISSN: 2169-3536
Appears in Collections:DETE - Artigos publicados em revista científica

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