Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems

Ito, Kenta; Takahashi, Takumi; Ishibashi, Koji; Igarashi, Koji; Ibi, Shinsuke

doi:https://doi.org/10.1109/TWC.2024.3514210

Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems

Ito, Kenta; Takahashi, Takumi; Ishibashi, Koji et al.

IEEE Transactions on Wireless Communications, 2025, 24(3), 1898-1915

Number of Access:220（2025-08-15 01:09 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/101415

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Title	Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems
Creator	CreatorName Ito, Kenta
	NRID 1000040844204 1000040844204 researchmap permalink takumi_takahashi takumi_takahashi Scopus Author ID 57193615052 57193615052 CreatorName Takahashi, Takumi
	NRID 1000080452176 1000080452176 CreatorName Ishibashi, Koji
	NRID 1000080436534 1000080436534 researchmap permalink sub100fs.soliton sub100fs.soliton Scopus Author ID 55566644100 55566644100 CreatorName Igarashi, Koji
	NRID 1000010448087 1000010448087 CreatorName Ibi, Shinsuke
Subject	Bayesian inference
	carrier frequency offset
	frequency-selective fading
	MU-MIMO-OFDM systems
Description	Ito K., Takahashi T., Ishibashi K., et al. Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems. IEEE Transactions on Wireless Communications 24(3), 1898-1915 (2025); https://doi.org/10.1109/TWC.2024.3514210.
Abstract	In this paper, we propose a novel low-complexity Bayesian receiver design to jointly perform channel, carrier frequency offset (CFO), and data estimation from observations subject to different CFOs among users in multi-user multiple-input multiple-output orthogonal frequency-division multiplexing (MU-MIMO-OFDM) systems. Inter-sub-carrier interference (ICI) due to CFO significantly reduces channel estimation accuracy under frequency-selective fading environments, making reliable communications difficult. To tackle this difficulty, a joint channel and CFO estimation (JCCE) algorithm is designed based on belief propagation (BP). Our method uses a Bernoulli-Gaussian (BG) distribution as the prior distribution of the channel coefficient to capture its delay-domain sparsity, and a Gaussian-mixture (GM) distribution as the prior distribution of the phase shift due to CFO to perform parallel search for the allowable range of CFO defined in the 3GPP standard by the number of mixture components. The proposed algorithm can further improve the accuracy of channel, CFO, and data estimation by treating the tentatively detected data symbols as extra pilots. The efficacy of the proposed method is confirmed by numerical studies, which show that the proposed method not only significantly outperforms the state-of-the-art (SotA) methods with much lower computational cost but also approaches the performance of an idealized Genie-aided scheme.
Publisher	Institute of Electrical and Electronics Engineers Inc.
Source Title	IEEE Transactions on Wireless Communications
Volume (Issue)	24(3)
Page	1898-1915
Date of Issued	2025-03
Language	English
Handle URL	https://hdl.handle.net/11094/101415
PISSN	15361276
eISSN	15582248
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1109/TWC.2024.3514210
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	IEEE Transactions on Wireless Communications. 2025, 24(3), p. 1898-1915
DC.title	Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems
DC.creator	Ito, Kenta
	Takahashi, Takumi
	Ishibashi, Koji
	Igarashi, Koji
	Ibi, Shinsuke
DC.publisher	Institute of Electrical and Electronics Engineers Inc.
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2025-03
DC.identifier	https://doi.org/10.1109/TWC.2024.3514210
DC.subject	Bayesian inference
	carrier frequency offset
	frequency-selective fading
	MU-MIMO-OFDM systems
DC.description	Ito K., Takahashi T., Ishibashi K., et al. Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems. IEEE Transactions on Wireless Communications 24(3), 1898-1915 (2025); https://doi.org/10.1109/TWC.2024.3514210.
DCTERMS.abstract	In this paper, we propose a novel low-complexity Bayesian receiver design to jointly perform channel, carrier frequency offset (CFO), and data estimation from observations subject to different CFOs among users in multi-user multiple-input multiple-output orthogonal frequency-division multiplexing (MU-MIMO-OFDM) systems. Inter-sub-carrier interference (ICI) due to CFO significantly reduces channel estimation accuracy under frequency-selective fading environments, making reliable communications difficult. To tackle this difficulty, a joint channel and CFO estimation (JCCE) algorithm is designed based on belief propagation (BP). Our method uses a Bernoulli-Gaussian (BG) distribution as the prior distribution of the channel coefficient to capture its delay-domain sparsity, and a Gaussian-mixture (GM) distribution as the prior distribution of the phase shift due to CFO to perform parallel search for the allowable range of CFO defined in the 3GPP standard by the number of mixture components. The proposed algorithm can further improve the accuracy of channel, CFO, and data estimation by treating the tentatively detected data symbols as extra pilots. The efficacy of the proposed method is confirmed by numerical studies, which show that the proposed method not only significantly outperforms the state-of-the-art (SotA) methods with much lower computational cost but also approaches the performance of an idealized Genie-aided scheme.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	101415
citation_title	Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems
citation_author	Ito, Kenta
	Takahashi, Takumi
	Ishibashi, Koji
	Igarashi, Koji
	Ibi, Shinsuke
citation_publisher	Institute of Electrical and Electronics Engineers Inc.
citation_language	English
citation_date	2025-03
citation_journal_title	IEEE Transactions on Wireless Communications
citation_volume	24
citation_issue	3
citation_firstpage	1898
citation_lastpage	1915
citation_doi	https://doi.org/10.1109/TWC.2024.3514210
citation_public_url	https://hdl.handle.net/11094/101415

Joint Channel, CFO, and Data Estimation via Bayesian Inference for Multi-User MIMO-OFDM Systems

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