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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

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.

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

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.
Paper Structure (5 sections, 5 figures, 1 table, 1 algorithm)

This paper contains 5 sections, 5 figures, 1 table, 1 algorithm.

Table of Contents

  1. Introduction
  2. Proposed Methodology
  3. LSTM-based CTF from Measurement Data
  4. Results and Discussion
  5. Conclusion

Figures (5)

  • Figure 1: Flow chart for CTF generation using a simple 2-layer LSTM model.
  • Figure 2: Comparison between measured channel gain and LSTM predicted CTFs at different $T_X$-$R_X$ distances.
  • Figure 3: Comparison between measured and LSTM predicted PDPs at different $T_X$-$R_X$ distances.
  • Figure 4: Comparison between measured and LSTM predicted TDLs at different $T_X$-$R_X$ distances.
  • Figure 5: Comparison between measured and LSTM predicted BER at different $T_X$-$R_X$ distances.