Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation

Ito, Kenta; Takahashi, Takumi; Furuta, Kengo; Ibi, Shinsuke; Thadeu Freitas De Abreu, Giuseppe

doi:https://doi.org/10.1109/OJCOMS.2024.3463202

Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation

Ito, Kenta; Takahashi, Takumi; Furuta, Kengo et al.

IEEE Open Journal of the Communications Society, 2024, 5, 6090-6105

アクセス数:407件（2025-11-27 19:32 集計）

固定URL: https://hdl.handle.net/11094/98350

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タイトル	Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation
著者	著者名 Ito, Kenta
	NRID 1000040844204 1000040844204 researchmap permalink takumi_takahashi takumi_takahashi Scopus Author ID 57193615052 57193615052 著者名 Takahashi, Takumi
	著者名 Furuta, Kengo
	NRID 1000010448087 1000010448087 著者名 Ibi, Shinsuke
	著者名 Thadeu Freitas De Abreu, Giuseppe
キーワード等	Gaussian belief propagation
	high-mobility communications
	joint channel and data estimation
	OTFS demodulation
	parametric bilinear inference
内容	Ito K., Takahashi T., Furuta K., et al. Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation. IEEE Open Journal of the Communications Society 5, 6090 (2024); https://doi.org/10.1109/OJCOMS.2024.3463202.
抄録	This paper proposes a novel joint channel and data estimation (JCDE) algorithm via parametric bilinear Gaussian belief propagation (PBiGaBP) for orthogonal time frequency space (OTFS) demodulation. In doubly-selective fading channels, since the Doppler shift breaks the orthogonality between subcarriers, the signal demodulation process requires estimating the path gains and data symbols from the high-dimensional signals that are multiplexed in the frequency-time (FT) domain. To obtain highly accurate channel state information (CSI) using a typical channel estimation scheme based only on reference signals, an increase in pilot overhead to suppress inter-symbol interference (ISI) is unavoidable. In addition, large-scale matrix operations based on the size of OTFS-equivalent channels also pose problems in terms of computational cost. To address these issues, we focus on the fact that OTFS demodulation can be formulated as a large-scale parametric bilinear inference (PBI) problem, and solve it using the Gaussian belief propagation (GaBP) approach, which enables an approximate implementation of the sum-product algorithm (SPA), based on the central limit theorem (CLT), to design a low-complexity and high-accuracy JCDE algorithm using short pilots. Simulation results show that the proposed PBiGaBP-based JCDE algorithm outperforms the state-of-the-art (SotA) schemes and approaches the performance of idealized (genie-aided) scheme in terms of mean square error (MSE) and bit error rate (BER) performances.
出版者	Institute of Electrical and Electronics Engineers Inc.
収録物名	IEEE Open Journal of the Communications Society
巻(号)	5
ページ	6090-6105
刊行年月	2024-09-01
言語	英語
ハンドルURL	https://hdl.handle.net/11094/98350
eISSN	2644125X
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1109/OJCOMS.2024.3463202
アクセス権	open access
権利情報	This article is licensed under a Creative Commons Attribution 4.0 International License.
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCTERMS.bibliographicCitation	IEEE Open Journal of the Communications Society. 2024, 5, p. 6090-6105
DC.title	Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation
DC.creator	Ito, Kenta
	Takahashi, Takumi
	Furuta, Kengo
	Ibi, Shinsuke
	Thadeu Freitas De Abreu, Giuseppe
DC.publisher	Institute of Electrical and Electronics Engineers Inc.
DC.language' scheme='DCTERMS.RFC1766	英語
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-09-01
DC.identifier	https://doi.org/10.1109/OJCOMS.2024.3463202
DC.subject	Gaussian belief propagation
	high-mobility communications
	joint channel and data estimation
	OTFS demodulation
	parametric bilinear inference
DC.description	Ito K., Takahashi T., Furuta K., et al. Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation. IEEE Open Journal of the Communications Society 5, 6090 (2024); https://doi.org/10.1109/OJCOMS.2024.3463202.
DCTERMS.abstract	This paper proposes a novel joint channel and data estimation (JCDE) algorithm via parametric bilinear Gaussian belief propagation (PBiGaBP) for orthogonal time frequency space (OTFS) demodulation. In doubly-selective fading channels, since the Doppler shift breaks the orthogonality between subcarriers, the signal demodulation process requires estimating the path gains and data symbols from the high-dimensional signals that are multiplexed in the frequency-time (FT) domain. To obtain highly accurate channel state information (CSI) using a typical channel estimation scheme based only on reference signals, an increase in pilot overhead to suppress inter-symbol interference (ISI) is unavoidable. In addition, large-scale matrix operations based on the size of OTFS-equivalent channels also pose problems in terms of computational cost. To address these issues, we focus on the fact that OTFS demodulation can be formulated as a large-scale parametric bilinear inference (PBI) problem, and solve it using the Gaussian belief propagation (GaBP) approach, which enables an approximate implementation of the sum-product algorithm (SPA), based on the central limit theorem (CLT), to design a low-complexity and high-accuracy JCDE algorithm using short pilots. Simulation results show that the proposed PBiGaBP-based JCDE algorithm outperforms the state-of-the-art (SotA) schemes and approaches the performance of idealized (genie-aided) scheme in terms of mean square error (MSE) and bit error rate (BER) performances.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	98350
citation_title	Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation
citation_author	Ito, Kenta
	Takahashi, Takumi
	Furuta, Kengo
	Ibi, Shinsuke
	Thadeu Freitas De Abreu, Giuseppe
citation_publisher	Institute of Electrical and Electronics Engineers Inc.
citation_language	英語
citation_date	2024-09-01
citation_journal_title	IEEE Open Journal of the Communications Society
citation_volume	5
citation_firstpage	6090
citation_lastpage	6105
citation_doi	https://doi.org/10.1109/OJCOMS.2024.3463202
citation_public_url	https://hdl.handle.net/11094/98350

Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation

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