Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023)

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BER Analysis on Precoded MIMO-GFDM as Preliminary Study of Waveform Candidates in the Railway Environment

Authors
Dara Aulia Feryando1, *, Agustinus Prasetyo Edy Wibowo1, Santi Triwijaya1
1Railway Electrical Technology Study Program, Indonesian Railway Polytechnic, Madiun, 63129, Indonesia
*Corresponding author. Email: dara@ppi.ac.id
Corresponding Author
Dara Aulia Feryando
Available Online 20 February 2024.
DOI
10.2991/978-94-6463-384-9_38How to use a DOI?
Keywords
BER; GFDM; MIMO; Railway
Abstract

The high demand for rail transportation services has encouraged the development of research in the field of railways. In the operation of trains, telecommunications has a vital function because it is related to passenger safety. The high speed of train operation requires a telecommunication system that has a high transmission capability of up to Gbps units. Meanwhile, GSM-R technology still has a peak data rate of 172 Kbps while LTE-R still has a peak data rate of 20 Mbps. Therefore, in this study, the use of alternative waveforms in the railway environment is discussed. This study discusses the analysis of the precoded MIMO-GFDM system based on BER parameters. GFDM (Generalized Frequency Division Multiplexing) is one of the waveforms that has been proposed as a candidate for 5G communication. Meanwhile, the use of MIMO in GFDM systems aims to maintain system performance in dealing with multipath channels. The results obtained are that the Precoded MIMO-GFDM system has the same bit error rate when compared to MIMO-OFDM and the Precoded MIMO-GFDM system has optimal results when using 16 subcarriers and 32 subsymbols.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023)
Series
Advances in Engineering Research
Publication Date
20 February 2024
ISBN
978-94-6463-384-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-384-9_38How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dara Aulia Feryando
AU  - Agustinus Prasetyo Edy Wibowo
AU  - Santi Triwijaya
PY  - 2024
DA  - 2024/02/20
TI  - BER Analysis on Precoded MIMO-GFDM as Preliminary Study of Waveform Candidates in the Railway Environment
BT  - Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023)
PB  - Atlantis Press
SP  - 425
EP  - 435
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-384-9_38
DO  - 10.2991/978-94-6463-384-9_38
ID  - Feryando2024
ER  -