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3D mmWave MIMO channel modeling and reconstruction for street canyon and highrise scenarios

dc.contributor.authorIdowu-Bismark, Olabode
dc.contributor.authorOshin, Oluwadamilola
dc.contributor.authorAdetiba, Emmanuel
dc.contributor.authorIdowu-Bismark, Oluwatobiloba
dc.date.accessioned2025-06-17T10:18:30Z
dc.date.available2025-06-17T10:18:30Z
dc.date.issued2024-4-2
dc.date.updated2025-03-12T20:39:03Z
dc.description.abstractThe use of millimeter-wave (mmWave) and full-dimensional multiple-input multiple-output (FD-MIMO) antenna systems for 3D wireless communication is being exploited for enhanced network capacity improvement in the ongoing fifth-generation (5G) deployment. For adequate assessment of competing air interface, random access channelization, and beam alignment procedures in mmWave systems, channel models for different use scenarios are necessary. A ray-tracing study was conducted with the use of a Wireless Insite ray tracing algorithm to characterize the mmWave channel in urban areas, using Lagos Island, Nigeria databases to predict measured statistics. These statistics include path loss, rms delay spread, angular spread of arrival, and departure in the azimuth and elevation domain. A 3GPP-style 3D mmWave channel is modeled and reconstructed, emphasizing the use of a ray tracer to determine elevation model parameters. Line of sight (LOS) and non-line of sight (NLOS) 3D models were developed for street canyon and high-rise scenarios
dc.format.extent6 p
dc.identifier.citationIdowu-Bismark, O. et al. 2024. 3D mmWave MIMO channel modeling and reconstruction for street canyon and highrise scenarios. Presented at: 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG): 1-6. doi:10.1109/seb4sdg60871.2024.10629820
dc.identifier.doi10.1109/seb4sdg60871.2024.10629820
dc.identifier.urihttps://hdl.handle.net/10321/6037
dc.language.isoen
dc.publisherIEEE
dc.publisher.urihttps://doi.org/10.1109/seb4sdg60871.2024.10629820
dc.relation.ispartof2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject5G
dc.subjectmmWave massive MIMO
dc.subjectChannel reconstruction
dc.subjectWireless insite
dc.title3D mmWave MIMO channel modeling and reconstruction for street canyon and highrise scenarios
dc.typeConference

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