PEACH: Proactive and Environment-Aware Channel State Information Prediction with Depth Images

Titel:: PEACH: Proactive and Environment-Aware Channel State Information Prediction with Depth Images
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Ayvasik, Serkut; Mehmeti, Fidan; Babaians, Edwin; Kellerer, Wolfgang
Zeitschriftentitel:: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS/Proc. ACM SIGMETRICS’23)
Jahr:: 2023
Band / Volume:: 7
Heft / Issue:: 1
Seitenangaben Beitrag:: 1-27
Volltext / DOI:: doi:10.1145/3579450
Verlag / Institution:: Association for Computing Machinery (ACM)
E-ISSN:: 2476-1249
Publikationsdatum:: 27.02.2023
Semester:: WS 22-23
CC-Lizenz:: by, http://creativecommons.org/licenses/by/4.0

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