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

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Al-Tous, Hanan
dc.contributor.author Tirkkonen, Olav
dc.contributor.author Liang, Jing
dc.date.accessioned 2021-09-02T08:45:06Z
dc.date.available 2021-09-02T08:45:06Z
dc.date.issued 2021-06-15
dc.identifier.citation Al-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-Spring51267.2021.9448830 en
dc.identifier.isbn 978-1-7281-8964-2
dc.identifier.issn 1090-3038
dc.identifier.issn 2577-2465
dc.identifier.other PURE UUID: 28a2c8d9-bed6-45c9-a7be-0bcf53ea957c
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/28a2c8d9-bed6-45c9-a7be-0bcf53ea957c
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85112455697&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/61198785/Al_tous_Adaptive_sector_splitting_based_on_CC_handover_VTC.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/109574
dc.description.abstract We 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.format.extent 6
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartof IEEE Vehicular Technology Conference en
dc.relation.ispartofseries Proceedings of IEEE 93rd Vehicular Technology Conference, VTC 2021 en
dc.relation.ispartofseries IEEE Vehicular Technology Conference en
dc.rights openAccess en
dc.title Adaptive Sector Splitting based on Channel Charting in Massive MIMO Cellular Systems en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Communications Theory
dc.contributor.department Department of Communications and Networking
dc.contributor.department Huawei Technologies Co., Ltd.
dc.subject.keyword Adaptive sector splitting
dc.subject.keyword UE clustering
dc.subject.keyword precoding
dc.subject.keyword channel charting
dc.identifier.urn URN:NBN:fi:aalto-202109028806
dc.identifier.doi 10.1109/VTC2021-Spring51267.2021.9448830
dc.type.version acceptedVersion

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