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Spatial Signal Design for Positioning via End-to-End Learning

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Titel: Spatial Signal Design for Positioning via End-to-End Learning
Autoren: Rivetti, Steven, 1998, Mateos Ramos, José Miguel, 1998, Wu, Yibo, 1996, Song, Jinxiang, 1995, Keskin, Musa Furkan, 1988, Yajnanarayana, Vijaya, Häger, Christian, 1986, Wymeersch, Henk, 1976
Quelle: Fysikbaserad djupinlärning för optisk dataöverföring och distribuerad avkänning A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X ) A New Waveform for Joint Radar and Communications Beyond 5G IEEE Wireless Communications Letters. 12(3):525-529
Schlagwörter: end-to-end learning, mmWave positioning, precoder optimization
Beschreibung: This letter considers the problem of end-to-end (E2E) learning for joint optimization of transmitter precoding and receiver processing for mmWave downlink positioning. Considering a multiple-input single-output (MISO) scenario, we propose a novel autoencoder (AE) architecture to estimate user equipment (UE) position with multiple base stations (BSs) and demonstrate that E2E learning can match model-based design, both for angle-of-departure (AoD) and position estimation, under ideal conditions without model deficits and outperform it in the presence of hardware impairments.
Dateibeschreibung: electronic
Zugangs-URL: https://research.chalmers.se/publication/535817
https://research.chalmers.se/publication/535817/file/535817_Fulltext.pdf
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  Data: Spatial Signal Design for Positioning via End-to-End Learning
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  Data: <searchLink fieldCode="AR" term="%22Rivetti%2C+Steven%22">Rivetti, Steven</searchLink>, 1998<br /><searchLink fieldCode="AR" term="%22Mateos+Ramos%2C+José+Miguel%22">Mateos Ramos, José Miguel</searchLink>, 1998<br /><searchLink fieldCode="AR" term="%22Wu%2C+Yibo%22">Wu, Yibo</searchLink>, 1996<br /><searchLink fieldCode="AR" term="%22Song%2C+Jinxiang%22">Song, Jinxiang</searchLink>, 1995<br /><searchLink fieldCode="AR" term="%22Keskin%2C+Musa+Furkan%22">Keskin, Musa Furkan</searchLink>, 1988<br /><searchLink fieldCode="AR" term="%22Yajnanarayana%2C+Vijaya%22">Yajnanarayana, Vijaya</searchLink><br /><searchLink fieldCode="AR" term="%22Häger%2C+Christian%22">Häger, Christian</searchLink>, 1986<br /><searchLink fieldCode="AR" term="%22Wymeersch%2C+Henk%22">Wymeersch, Henk</searchLink>, 1976
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  Data: <i>Fysikbaserad djupinlärning för optisk dataöverföring och distribuerad avkänning A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X ) A New Waveform for Joint Radar and Communications Beyond 5G IEEE Wireless Communications Letters</i>. 12(3):525-529
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  Data: This letter considers the problem of end-to-end (E2E) learning for joint optimization of transmitter precoding and receiver processing for mmWave downlink positioning. Considering a multiple-input single-output (MISO) scenario, we propose a novel autoencoder (AE) architecture to estimate user equipment (UE) position with multiple base stations (BSs) and demonstrate that E2E learning can match model-based design, both for angle-of-departure (AoD) and position estimation, under ideal conditions without model deficits and outperform it in the presence of hardware impairments.
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        Value: 10.1109/LWC.2022.3233475
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      – SubjectFull: end-to-end learning
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      – SubjectFull: mmWave positioning
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      – SubjectFull: precoder optimization
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      – TitleFull: Spatial Signal Design for Positioning via End-to-End Learning
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              Type: published
              Y: 2023
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