LSTM-Based Power Delay Profile Predictions for Intra-Bus Wireless Propagation

Rajeev Shukla; Atharva Verma; Aniruddha Chandra; Ondrej Zeleny; Radek Zavorka; Jiri Blumenstein; Ales Prokes; Jaroslaw Wojtun; Jan M. Kelner; Cezary Ziolkowski; Domenico Ciuonzo

doi:10.1109/radioelektronika65656.2025.11008407

arXiv · 2603.19707

LSTM-Based Power Delay Profile Predictions for Intra-Bus Wireless Propagation

Rajeev Shukla·Atharva Verma·Aniruddha Chandra·Ondrej Zeleny·Radek Zavorka·Jiri Blumenstein·Ales Prokes·Jaroslaw Wojtun·Jan M. Kelner·Cezary Ziolkowski·Domenico Ciuonzo

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Abstract

Longlshort-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.

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Rajeev Shukla, Atharva Verma, Aniruddha Chandra, Ondrej Zeleny, Radek Zavorka, Jiri Blumenstein, Ales Prokes, Jaroslaw Wojtun, Jan M. Kelner, Cezary Ziolkowski, Domenico Ciuonzo. 2026-03-20. LSTM-Based Power Delay Profile Predictions for Intra-Bus Wireless Propagation. https://doi.org/10.1109/radioelektronika65656.2025.11008407

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