Predicting the Line-of-Sight Existence Using Radio Channel Properties and Relative Antenna Locations

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorHaneda, Katsuyukien_US
dc.contributor.authorDesai, Rachanaen_US
dc.contributor.departmentDepartment of Electronics and Nanoengineeringen
dc.contributor.groupauthorKatsuyuki Haneda Groupen
dc.contributor.organizationRapidMiner GmbHen_US
dc.date.accessioned2023-08-01T06:17:59Z
dc.date.available2023-08-01T06:17:59Z
dc.date.issued2023en_US
dc.descriptionFunding Information: ACKNOWLEDGEMENT This work has been in part funded by the European Commission through the H2020 project ARIADNE (Grant Agreement no. 871464) and by the Academy of Finland – NSF joint call pilot “Artificial intelligence and wireless communication technologies", decision #345178. Publisher Copyright: © 2023 European Association for Antennas and Propagation. | openaire: EC/H2020/871464/EU//ARIADNE
dc.description.abstractExistence of the line-of-sight (LoS) in a radio link is an important feature determining radio link and localization performance. This study explores relationship between multidimensional nature of radio channel properties such as delay and angular spreads and link pathloss with the LoS existence along with the relative antenna geometry of the two communicating devices in an attempt to predict the LoS existence. A nonlinear classification method of the decision tree is trained by extensive wideband double-directional channel sounding data in a microcellular environment. It was found that the BS-MS link distance and link pathloss were most influential features in predicting the LOS existence. While the use of less influential features of delay and angular spreads led to 75 % accuracy due to not being able to find the exact pattern across different MS routes. We thereby demonstrate the usefulness of incorporating geometrical knowledge of the link to predict the LoS state, despite not using a map of the cellular site, in addition to using channel parameters.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHaneda, K & Desai, R 2023, Predicting the Line-of-Sight Existence Using Radio Channel Properties and Relative Antenna Locations. in 17th European Conference on Antennas and Propagation, EuCAP 2023. IEEE, European Conference on Antennas and Propagation, Florence, Italy, 26/03/2023. https://doi.org/10.23919/EuCAP57121.2023.10133661en
dc.identifier.doi10.23919/EuCAP57121.2023.10133661en_US
dc.identifier.isbn978-1-6654-7541-9
dc.identifier.otherPURE UUID: 42e868a2-67c0-4a4f-95f4-ecd0df691482en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/42e868a2-67c0-4a4f-95f4-ecd0df691482en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/115088186/Predicting_the_Line_of_Sight_Existence_Using_Radio_Channel_Properties_and_Relative_Antenna_Locations.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/122177
dc.identifier.urnURN:NBN:fi:aalto-202308014538
dc.language.isoenen
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/871464/EU//ARIADNEen_US
dc.relation.fundinginfoACKNOWLEDGEMENT This work has been in part funded by the European Commission through the H2020 project ARIADNE (Grant Agreement no. 871464) and by the Academy of Finland – NSF joint call pilot “Artificial intelligence and wireless communication technologies", decision #345178.
dc.relation.ispartofEuropean Conference on Antennas and Propagationen
dc.relation.ispartofseries17th European Conference on Antennas and Propagation, EuCAP 2023en
dc.rightsopenAccessen
dc.titlePredicting the Line-of-Sight Existence Using Radio Channel Properties and Relative Antenna Locationsen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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