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

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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.
Original languageEnglish
Title of host publicationProceedings of IEEE 93rd Vehicular Technology Conference, VTC 2021
Number of pages6
ISBN (Electronic)978-1-7281-8964-2
Publication statusPublished - 15 Jun 2021
MoE publication typeA4 Conference publication
EventIEEE Vehicular Technology Conference - Helsinki, Finland
Duration: 25 Apr 202128 Apr 2021
Conference number: 93

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465


ConferenceIEEE Vehicular Technology Conference
Abbreviated titleVTC-Spring


  • Adaptive sector splitting
  • UE clustering
  • precoding
  • channel charting


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