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SHUKLA, R.; VERMA, A.; CHANDRA, A.; ZELENÝ, O.; ZÁVORKA, R.; BLUMENSTEIN, J.; PROKEŠ, A.; WOJTUŃ, J.; KELNER, J.; ZIÓŁKOWSKI, C.; CIUONZO, D.
Original Title
LSTM-based Power Delay Profile Predictions for Intra-bus Wireless Propagation
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
Long/short-term memory (LSTM) is a deep learning model that can capture long-term dependencies of wireless channel models and is highly adaptable to short-term changes in a wireless environment. This paper proposes a simple LSTM model to predict the channel transfer function (CTF) for a given transmitter-receiver location inside a bus for the 60 GHz millimetre wave band. The average error of the derived power delay profile (PDP) taps, obtained from the predicted CTFs, was less than 10% compared to the ground truth.
English abstract
Keywords
Channel characterisation, LSTM, millimetre wave
Key words in English
Authors
RIV year
2026
Released
23.05.2025
Publisher
IEEE
Location
NEW YORK
ISBN
979-8-3315-4447-8
Book
International Conference on Radioelektronika
Pages from
1
Pages to
5
Pages count
URL
https://ieeexplore.ieee.org/document/11008407
BibTex
@inproceedings{BUT199778, author="Rajeev {Shukla} and {} and Aniruddha {Chandra} and Ondřej {Zelený} and Radek {Závorka} and Jiří {Blumenstein} and Aleš {Prokeš} and Jarosław {Wojtuń} and Jan M. {Kelner} and Cezary {Ziółkowski} and {}", title="LSTM-based Power Delay Profile Predictions for Intra-bus Wireless Propagation", booktitle="International Conference on Radioelektronika", year="2025", pages="1--5", publisher="IEEE", address="NEW YORK", doi="10.1109/RADIOELEKTRONIKA65656.2025.11008407", isbn="979-8-3315-4447-8", url="https://ieeexplore.ieee.org/document/11008407" }