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Channel Charting Assisted Beam Tracking
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A4 Artikkeli konferenssijulkaisussa
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en
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5
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2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings, IEEE Vehicular Technology Conference
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.
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Funding Information: This work was funded by the European Union under the framework of the project H2020-MSCA-ITN 813999 Windmill. Publisher Copyright: © 2022 IEEE. | openaire: EC/H2020/813999/EU//WINDMILL
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Kazemi, P, Al-Tous, H, Studer, C & Tirkkonen, O 2022, Channel Charting Assisted Beam Tracking. in 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings. IEEE Vehicular Technology Conference, IEEE, IEEE Vehicular Technology Conference, Helsinki, Finland, 19/06/2022. https://doi.org/10.1109/VTC2022-Spring54318.2022.9860709