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

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

Signal Processing 2026-03-23 v1

Authors: 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.

Keywords

channel estimation deep learning for wireless communications deep learning for detection and classification

Cite

@article{arxiv.2603.19707,
  title  = {LSTM-Based Power Delay Profile Predictions for Intra-Bus Wireless Propagation},
  author = {Rajeev Shukla and Atharva Verma and Aniruddha Chandra and Ondrej Zeleny and Radek Zavorka and Jiri Blumenstein and Ales Prokes and Jaroslaw Wojtun and Jan M. Kelner and Cezary Ziolkowski and Domenico Ciuonzo},
  journal= {arXiv preprint arXiv:2603.19707},
  year   = {2026}
}

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5 pages, 5 figures, 1 table

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

Abstract

Keywords

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