TY - JOUR
T1 - Frequency Characteristics of Geometry-based Clusters in Indoor Hall Environment at SHF Bands
AU - Hanpinitsak, Panawit
AU - SAITO, Kentaro
AU - Fan, Wei
AU - Hejselbaek, Johannes
AU - Takada, Junichi
AU - Pedersen, Gert Frølund
PY - 2019/5/20
Y1 - 2019/5/20
N2 - This paper presents an analysis of geometry-based cluster frequency dependency at super-high-frequency bands, including 3, 10, and 28 GHz. First, multipath components were extracted from the measured data by using the space-alternating generalized expectation-maximization algorithm. Then, geometry-based clusters were estimated by using the enhanced scattering point-based KPowerMeans (SPKPM) algorithm. Finally, the frequency dependencies of their scattering intensities were discussed with the assistance of physical optics. The analysis results showed that the SPKPM could also be applied to obtain reasonable scattering locations at multiple frequencies in most cases. In addition, reflection on smooth surfaces was the dominant mechanism of clustering where there was no frequency dependence, whereas diffraction, scattering, and shadowing were significant causes of frequency dependence. Assuming that the line-of-sight is obstructed, diffraction, scattering, and shadowing accounted for 30-40% of the entire channel in terms of power, which was not negligible and thus the channel was largely frequency-dependent. The analysis results are expected to provide crucial insights for multiple-frequency channel modeling for fifth-generation wireless systems.
AB - This paper presents an analysis of geometry-based cluster frequency dependency at super-high-frequency bands, including 3, 10, and 28 GHz. First, multipath components were extracted from the measured data by using the space-alternating generalized expectation-maximization algorithm. Then, geometry-based clusters were estimated by using the enhanced scattering point-based KPowerMeans (SPKPM) algorithm. Finally, the frequency dependencies of their scattering intensities were discussed with the assistance of physical optics. The analysis results showed that the SPKPM could also be applied to obtain reasonable scattering locations at multiple frequencies in most cases. In addition, reflection on smooth surfaces was the dominant mechanism of clustering where there was no frequency dependence, whereas diffraction, scattering, and shadowing were significant causes of frequency dependence. Assuming that the line-of-sight is obstructed, diffraction, scattering, and shadowing accounted for 30-40% of the entire channel in terms of power, which was not negligible and thus the channel was largely frequency-dependent. The analysis results are expected to provide crucial insights for multiple-frequency channel modeling for fifth-generation wireless systems.
KW - MPC clustering
KW - Radio propagation
KW - SHF bands
KW - channel models
KW - indoor
KW - physical optics
UR - http://www.scopus.com/inward/record.url?scp=85068343788&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2920890
DO - 10.1109/ACCESS.2019.2920890
M3 - Journal article
SN - 2169-3536
VL - 7
SP - 75420
EP - 75433
JO - IEEE Access
JF - IEEE Access
M1 - 8731858
ER -