Channel Charting Assisted Beam Tracking
| Autor: | Parham Kazemi, Hanan Al-Tous, Christoph Studer, Olav Tirkkonen |
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| Přispěvatelé: | Department of Communications and Networking, Swiss Federal Institute of Technology Zurich, Aalto-yliopisto, Aalto University |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) |
| DOI: | 10.1109/vtc2022-spring54318.2022.9860709 |
| Popis: | 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. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) ISBN:978-1-6654-8243-1 ISBN:978-1-6654-8244-8 |
| Databáze: | OpenAIRE |
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