Channel Charting Assisted Beam Tracking

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)
42 Downloads (Pure)


We propose a novel beam-tracking algorithm based on channel charting (CC) which maintains the communication link between a base station (BS) and a mobile user equipment (UE) in a millimeter wave (mmWave) mobile communications system. Our method first uses large-scale channel state information at the BS in order to learn a CC. The points in the channel chart are then annotated with the signal-to-noise ratio (SNR) of best beams. One can then leverage this CC-to-SNR mapping in order to track strong beams between UEs and BS efficiently and robustly at very low beam-search overhead. Simulation results in a mmWave scenario show that the performance of the CC-assisted beam tracking method approaches that of an exhaustive beam-search approach while requiring significantly lower beam-search overhead than conventional tracking methods.

Original languageEnglish
Title of host publication2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
Number of pages5
ISBN (Electronic)978-1-6654-8243-1
Publication statusPublished - 2022
MoE publication typeA4 Conference publication
EventIEEE Vehicular Technology Conference - Helsinki, Finland
Duration: 19 Jun 202222 Jun 2022
Conference number: 95

Publication series

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


ConferenceIEEE Vehicular Technology Conference
Abbreviated titleVTC


  • Beam tracking
  • channel charting
  • channel state information
  • mmWave communication
  • SNR prediction


Dive into the research topics of 'Channel Charting Assisted Beam Tracking'. Together they form a unique fingerprint.

Cite this