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SHUKLA, R. SARKAR, A. CHANDRA, A. ZIÓŁKOWSKI, C. MIKULÁŠEK, T. PROKEŠ, A.
Original Title
A simple ANN-MLP model for estimating 60-GHz PDP inside public and private vehicles
Type
journal article in Web of Science
Language
English
Original Abstract
Radio wave propagation in an intra-vehicular (IV) environment is markedly different from other well-studied indoor scenarios, such as an office or a factory floor. While millimetre wave (mmWave)-based intra-vehicular communications promise large bandwidth and can achieve ultra-high data rates with lower latency, exploiting the advantages of mmWave communications largely relies on adequately characterising the propagation channel. Channel characterisation is most accurately done through an extensive channel sounding, but due to hardware and environmental constraints, it is impractical to test channel conditions for all possible transmitter and receiver locations. Artificial neural network (ANN)-based channel sounding can overcome this impediment by learning and estimating the channel parameters from the channel environment. We estimate the power delay profile in intra-vehicular public and private vehicle scenarios with a high accuracy using a simple feedforward multi-layer perception-based ANN model. Such artificially generated models can help extrapolate other relevant scenarios for which measurement data are unavailable. The proposed model efficiently matches the taped delay line samples obtained from real-world data, as shown by goodness-of-fit parameters and confusion matrices.
Keywords
Channel sounding; Intra-vehicular communication; Millimetre wave; Multilayer perceptron; Power delay profile
Authors
SHUKLA, R.; SARKAR, A.; CHANDRA, A.; ZIÓŁKOWSKI, C.; MIKULÁŠEK, T.; PROKEŠ, A.
Released
10. 6. 2023
Publisher
Springer Nature
Location
NEW YORK
ISBN
1687-1499
Periodical
EURASIP Journal on Wireless Communications and Networking
Year of study
2023
Number
1
State
Swiss Confederation
Pages from
Pages to
16
Pages count
URL
https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-023-02257-0
Full text in the Digital Library
http://hdl.handle.net/11012/213638
BibTex
@article{BUT184024, author="Rajeev {Shukla} and Abhishek Narayan {Sarkar} and Aniruddha {Chandra} and Vladimír {Kelner} and Cezary {Ziółkowski} and Tomáš {Mikulášek} and Aleš {Prokeš}", title="A simple ANN-MLP model for estimating 60-GHz PDP inside public and private vehicles", journal="EURASIP Journal on Wireless Communications and Networking", year="2023", volume="2023", number="1", pages="16", doi="10.1186/s13638-023-02257-0", issn="1687-1499", url="https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-023-02257-0" }