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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

2 Sitaatiot (Scopus)
112 Lataukset (Pure)


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.
OtsikkoProceedings of IEEE 93rd Vehicular Technology Conference, VTC 2021
ISBN (elektroninen)978-1-7281-8964-2
DOI - pysyväislinkit
TilaJulkaistu - 15 kesäk. 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE Vehicular Technology Conference - Helsinki, Suomi
Kesto: 25 huhtik. 202128 huhtik. 2021
Konferenssinumero: 93


NimiIEEE Vehicular Technology Conference
ISSN (painettu)1090-3038
ISSN (elektroninen)2577-2465


ConferenceIEEE Vehicular Technology Conference


Sukella tutkimusaiheisiin 'Adaptive Sector Splitting based on Channel Charting in Massive MIMO Cellular Systems'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä