A Low-Complexity Time Synchronization Algorithm for MIMO ZP-OFDM in Urban Impulsive Noise Environments

Koosha Pourtahmasi Roshandeh; Mostafa Mohammadkarimi; Masoud Ardakani

doi:10.1109/GLOBECOM54140.2023.10437433

A Low-Complexity Time Synchronization Algorithm for MIMO ZP-OFDM in Urban Impulsive Noise Environments

Koosha Pourtahmasi Roshandeh^*, Mostafa Mohammadkarimi, Masoud Ardakani^*

^*Corresponding author for this work

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

The zero padding (ZP) variants of orthogonal frequency-division multiplexing (OFDM) exhibit a lower bit error rate (BER) and higher energy efficiency compared to their cyclic prefix (CP) counterparts. However, the employment of ZP-OFDM demands strict time synchronization, which is challenging in the absence of pilots or CP. Moreover, time synchronization in OFDM systems is even more challenging when impulsive noise is present. It is well known that urban noise, which consists largely of impulsive noise generated by spark plugs used in internal combustion engines, switching and industrial activities, and discharge of high voltage distribution lines, has a strong influence on digital mobile communications. In this paper, we propose a new low-complexity approximate maximum likelihood (A-ML) timing offset (TO) estimator for ZP multiple-input multiple-output (MIMO)-OFDM in impulsive-noise environments. Performance comparison of the A-ML estimator with existing TO estimators demonstrates a superior performance in terms of lock-in probability with similar computational complexity. Also, compared to the optimal ML TO estimator, it offers a significantly lower computational complexity with negligible performance loss. The A-ML estimator can be employed for both frame and symbol synchronization.

Original language	English
Title of host publication	GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Publisher	IEEE
Pages	4211-4216
Number of pages	6
ISBN (Electronic)	9798350310900
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10437433
Publication status	Published - 2023
Event	2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/GLOBECOM54140.2023.10437433

A_Low-Complexity_Time_Synchronization_Algorithm_for_MIMO_ZP-OFDM_in_Urban_Impulsive_Noise_EnvironmentsFinal published version, 414 KB

Cite this

@inproceedings{7ba28bd0f99740d49a6e7dea0fca43f5,

title = "A Low-Complexity Time Synchronization Algorithm for MIMO ZP-OFDM in Urban Impulsive Noise Environments",

abstract = "The zero padding (ZP) variants of orthogonal frequency-division multiplexing (OFDM) exhibit a lower bit error rate (BER) and higher energy efficiency compared to their cyclic prefix (CP) counterparts. However, the employment of ZP-OFDM demands strict time synchronization, which is challenging in the absence of pilots or CP. Moreover, time synchronization in OFDM systems is even more challenging when impulsive noise is present. It is well known that urban noise, which consists largely of impulsive noise generated by spark plugs used in internal combustion engines, switching and industrial activities, and discharge of high voltage distribution lines, has a strong influence on digital mobile communications. In this paper, we propose a new low-complexity approximate maximum likelihood (A-ML) timing offset (TO) estimator for ZP multiple-input multiple-output (MIMO)-OFDM in impulsive-noise environments. Performance comparison of the A-ML estimator with existing TO estimators demonstrates a superior performance in terms of lock-in probability with similar computational complexity. Also, compared to the optimal ML TO estimator, it offers a significantly lower computational complexity with negligible performance loss. The A-ML estimator can be employed for both frame and symbol synchronization.",

author = "Roshandeh, {Koosha Pourtahmasi} and Mostafa Mohammadkarimi and Masoud Ardakani",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 2023 IEEE Global Communications Conference, GLOBECOM 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GLOBECOM54140.2023.10437433",

language = "English",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

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pages = "4211--4216",

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Roshandeh, KP, Mohammadkarimi, M & Ardakani, M 2023, A Low-Complexity Time Synchronization Algorithm for MIMO ZP-OFDM in Urban Impulsive Noise Environments. in GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Proceedings - IEEE Global Communications Conference, GLOBECOM, IEEE, pp. 4211-4216, 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GLOBECOM54140.2023.10437433

A Low-Complexity Time Synchronization Algorithm for MIMO ZP-OFDM in Urban Impulsive Noise Environments. / Roshandeh, Koosha Pourtahmasi; Mohammadkarimi, Mostafa; Ardakani, Masoud.
GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. p. 4211-4216 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Roshandeh, Koosha Pourtahmasi

AU - Mohammadkarimi, Mostafa

AU - Ardakani, Masoud

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

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N2 - The zero padding (ZP) variants of orthogonal frequency-division multiplexing (OFDM) exhibit a lower bit error rate (BER) and higher energy efficiency compared to their cyclic prefix (CP) counterparts. However, the employment of ZP-OFDM demands strict time synchronization, which is challenging in the absence of pilots or CP. Moreover, time synchronization in OFDM systems is even more challenging when impulsive noise is present. It is well known that urban noise, which consists largely of impulsive noise generated by spark plugs used in internal combustion engines, switching and industrial activities, and discharge of high voltage distribution lines, has a strong influence on digital mobile communications. In this paper, we propose a new low-complexity approximate maximum likelihood (A-ML) timing offset (TO) estimator for ZP multiple-input multiple-output (MIMO)-OFDM in impulsive-noise environments. Performance comparison of the A-ML estimator with existing TO estimators demonstrates a superior performance in terms of lock-in probability with similar computational complexity. Also, compared to the optimal ML TO estimator, it offers a significantly lower computational complexity with negligible performance loss. The A-ML estimator can be employed for both frame and symbol synchronization.

AB - The zero padding (ZP) variants of orthogonal frequency-division multiplexing (OFDM) exhibit a lower bit error rate (BER) and higher energy efficiency compared to their cyclic prefix (CP) counterparts. However, the employment of ZP-OFDM demands strict time synchronization, which is challenging in the absence of pilots or CP. Moreover, time synchronization in OFDM systems is even more challenging when impulsive noise is present. It is well known that urban noise, which consists largely of impulsive noise generated by spark plugs used in internal combustion engines, switching and industrial activities, and discharge of high voltage distribution lines, has a strong influence on digital mobile communications. In this paper, we propose a new low-complexity approximate maximum likelihood (A-ML) timing offset (TO) estimator for ZP multiple-input multiple-output (MIMO)-OFDM in impulsive-noise environments. Performance comparison of the A-ML estimator with existing TO estimators demonstrates a superior performance in terms of lock-in probability with similar computational complexity. Also, compared to the optimal ML TO estimator, it offers a significantly lower computational complexity with negligible performance loss. The A-ML estimator can be employed for both frame and symbol synchronization.

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AN - SCOPUS:85187321648

T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM

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BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference

PB - IEEE

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A Low-Complexity Time Synchronization Algorithm for MIMO ZP-OFDM in Urban Impulsive Noise Environments

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