Adaptive Sector Splitting based on Channel Charting in Massive MIMO Cellular Systems

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAl-Tous, Hananen_US
dc.contributor.authorTirkkonen, Olaven_US
dc.contributor.authorLiang, Jingen_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.groupauthorCommunications Theoryen
dc.contributor.organizationHuawei Technologies Co., Ltd.en_US
dc.date.accessioned2021-09-02T08:45:06Z
dc.date.available2021-09-02T08:45:06Z
dc.date.issued2021-06-15en_US
dc.description.abstractWe consider a downlink scenario where a multiantenna base station in a sectorized cellular system creates multiple logical cells in each sector, applying Adaptive Sector Splitting (ASS). In ASS, a population of User Equipments (UEs) is grouped based on radio Channel State Information (CSI), groups are assigned to cells, and the virtual antennas serving the cells are optimized based on CSI. Grouping UEs based on covariance matrix similarity may result in considerable spatial overlap of the UE groups, and a need for frequent handovers for mobile UEs. To reduce handovers, an improved grouping strategy that takes into account UE physical locations is needed. We use Channel Charting (CC) to learn the radio map of the cell from uplink CSI, and consider UE grouping based on CC locations aiming to maximize the mean distance of UEs to virtual cell borders without the need to know the physical locations of the UEs. Simulation results show that ASS groups based on CC are more compact than angle-of-arrival and covariance matrix based groupings from the literature.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAl-Tous, H, Tirkkonen, O & Liang, J 2021, Adaptive Sector Splitting based on Channel Charting in Massive MIMO Cellular Systems . in Proceedings of IEEE 93rd Vehicular Technology Conference, VTC 2021 ., 9448830, IEEE Vehicular Technology Conference, IEEE, IEEE Vehicular Technology Conference, Helsinki, Finland, 25/04/2021 . https://doi.org/10.1109/VTC2021-Spring51267.2021.9448830en
dc.identifier.doi10.1109/VTC2021-Spring51267.2021.9448830en_US
dc.identifier.isbn978-1-7281-8964-2
dc.identifier.issn1090-3038
dc.identifier.issn2577-2465
dc.identifier.otherPURE UUID: 28a2c8d9-bed6-45c9-a7be-0bcf53ea957cen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/28a2c8d9-bed6-45c9-a7be-0bcf53ea957cen_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85112455697&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/61198785/Al_tous_Adaptive_sector_splitting_based_on_CC_handover_VTC.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/109574
dc.identifier.urnURN:NBN:fi:aalto-202109028806
dc.language.isoenen
dc.relation.ispartofIEEE Vehicular Technology Conferenceen
dc.relation.ispartofseriesProceedings of IEEE 93rd Vehicular Technology Conference, VTC 2021en
dc.relation.ispartofseriesIEEE Vehicular Technology Conferenceen
dc.rightsopenAccessen
dc.subject.keywordAdaptive sector splittingen_US
dc.subject.keywordUE clusteringen_US
dc.subject.keywordprecodingen_US
dc.subject.keywordchannel chartingen_US
dc.titleAdaptive Sector Splitting based on Channel Charting in Massive MIMO Cellular Systemsen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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