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Modeling Multi-Frequency Characteristics for Classroom and Hall Scenarios at 2-4, 9-11 and 27-29 GHz Bands
- Source :
- IEEE Access, Vol 9, Pp 14549-14563 (2021), Zhang, G, Nielsen, J Ø, Cai, X, Kentaro, S, Hanpinitsak, P, Takada, J, Pedersen, G F & Fan, W 2021, ' Modeling Multi-frequency Characteristics for Classroom and Hall Scenarios at 2-4, 9-11 and 27-29 GHz Bands ', IEEE Access, vol. 9, 9328091, pp. 14549-14563 . https://doi.org/10.1109/ACCESS.2021.3052301
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- 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.
- Subjects :
- Multi-frequency bands propagation
General Computer Science
Computer science
Estimation theory
Acoustics
General Engineering
Channel sounding
channel estimation
020206 networking & telecommunications
020302 automobile design & engineering
channel sounding
02 engineering and technology
0203 mechanical engineering
Dimension (vector space)
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
lcsh:Electrical engineering. Electronics. Nuclear engineering
Wideband
lcsh:TK1-9971
Multipath propagation
channel measurement
Communication channel
Computer Science::Information Theory
clustering
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....6c567f24cad98f57b14029859afc9b09