Open access
Datum
2022Typ
- Conference Paper
ETH Bibliographie
yes
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Abstract
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. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000578453Publikationsstatus
publishedExterne Links
Buchtitel
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)Seiten / Artikelnummer
Verlag
IEEEKonferenz
Thema
Beam tracking; channel charting; channel state information; mmWave communication; SNR predictionOrganisationseinheit
09695 - Studer, Christoph / Studer, Christoph
Förderung
813999 - Integrating wireless communication engineering and machine learning (EC)
ETH Bibliographie
yes
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