LSTM-based Power Delay Profile Predictions for Intra-bus Wireless Propagation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0199778" target="_blank" >RIV/00216305:26220/26:0199778 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11008407" target="_blank" >https://ieeexplore.ieee.org/document/11008407</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008407" target="_blank" >10.1109/RADIOELEKTRONIKA65656.2025.11008407</a>

Result language
angličtina
Original language name
LSTM-based Power Delay Profile Predictions for Intra-bus Wireless Propagation
Original language description
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.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GF23-04304L" target="_blank" >GF23-04304L: Multi-band prediction of millimeter-wave propagation effects for dynamic and fixed scenarios in rugged time-varying environments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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