TY - JOUR
T1 - Modeling Multi-frequency Characteristics for Classroom and Hall Scenarios at 2-4, 9-11 and 27-29 GHz Bands
AU - Zhang, Guojin
AU - Nielsen, Jesper Ødum
AU - Cai, Xuesong
AU - Kentaro , Saito
AU - Hanpinitsak, Panawit
AU - Takada, Jun-ichi
AU - Pedersen, Gert Frølund
AU - Fan, Wei
PY - 2021/1/12
Y1 - 2021/1/12
N2 - This paper investigates the wideband channel characteristics obtained in a classroom and a hall indoor scenarios at 2-4, 9-11 and 27-29GHz. A virtual uniform circular array (UCA) based channel sounding system was utilized to capture wideband spatial channel characteristics. The propagation parameters of multipath components (MPCs) were estimated by using a high resolution parameter estimation (HRPE) algorithm. The estimated MPCs are further grouped into clusters via a novel clustering identification algorithm based on the KPowerMeans algorithm. The comparison of the composite and cluster-level characteristics at multiple frequency bands in both scenarios is investigated. Moreover, the impact of the indoor room environment, i.e. dimension and furniture, on the propagation channel is also analyzed. The statistics of channel parameters at multiple frequency bands extracted constitute a stochastic clustered spatial channel model.
AB - This paper investigates the wideband channel characteristics obtained in a classroom and a hall indoor scenarios at 2-4, 9-11 and 27-29GHz. A virtual uniform circular array (UCA) based channel sounding system was utilized to capture wideband spatial channel characteristics. The propagation parameters of multipath components (MPCs) were estimated by using a high resolution parameter estimation (HRPE) algorithm. The estimated MPCs are further grouped into clusters via a novel clustering identification algorithm based on the KPowerMeans algorithm. The comparison of the composite and cluster-level characteristics at multiple frequency bands in both scenarios is investigated. Moreover, the impact of the indoor room environment, i.e. dimension and furniture, on the propagation channel is also analyzed. The statistics of channel parameters at multiple frequency bands extracted constitute a stochastic clustered spatial channel model.
KW - Multi-frequency bands propagation
KW - channel estimation
KW - channel measurement
KW - channel sounding
KW - clustering
UR - http://www.scopus.com/inward/record.url?scp=85099725079&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3052301
DO - 10.1109/ACCESS.2021.3052301
M3 - Journal article
SN - 2169-3536
VL - 9
SP - 14549
EP - 14563
JO - IEEE Access
JF - IEEE Access
M1 - 9328091
ER -