Joint Phase Noise Estimation and Decoding in OFDM-IM

Shi, Q; Wu, N; Wang, H; Nguyen, DN; Huang, X

Joint Phase Noise Estimation and Decoding in OFDM-IM

Shi, Q Wu, N Wang, H Nguyen, DN Huang, X

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, 2021, 2020-January, pp. 1-6
Issue Date:: 2021-12-01

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Field	Value	Language
dc.contributor.author	Shi, Q
dc.contributor.author	Wu, N
dc.contributor.author	Wang, H
dc.contributor.author	Nguyen, DN
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732
dc.date	2020-12-07
dc.date.accessioned	2021-04-20T00:01:04Z
dc.date.available	2021-04-20T00:01:04Z
dc.date.issued	2021-12-01
dc.identifier.citation	2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, 2021, 2020-January, pp. 1-6
dc.identifier.isbn	9781728182988
dc.identifier.uri	http://hdl.handle.net/10453/148200
dc.description.abstract	This paper proposes a low-complexity joint phase noise (PHN) estimation and decoding algorithm for orthogonal frequency division multiplexing relying on index modulation (OFDM-IM) systems. A factor graph (FG) is constructed based on the truncated discrete cosine transform (DCT) expansion model for the variation of PHN. In order to explicitly take into account the structured and sparse a priori information of the frequency-domain symbols provided by the soft-in soft-out (SISO) decoder, the generalized approximate message passing (GAMP) algorithm is employed. Furthermore, to solve the unknown and nonlinear transform matrix problem introduced by the PHN, the mean-field (MF) method is invoked at the observation nodes on the FG. Monte Carlo simulations show the superiority of the proposed algorithm over the existing variational inference (VI) and extended Kalman filter (EKF) methods in terms of their bit error rate (BER) performance and complexity. In addition, we demonstrate that the OFDM-IM scheme outperforms its conventional OFDM counterpart in the presence of PHN.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
dc.relation.ispartof	IEEE Global Communications Conference
dc.relation.isbasedon	10.1109/GLOBECOM42002.2020.9348264
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Joint Phase Noise Estimation and Decoding in OFDM-IM
dc.type	Conference Proceeding
utslib.citation.volume	2020-January
utslib.location.activity	Taipei, Taiwan
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-04-20T00:01:03Z
pubs.finish-date	2020-12-11
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2020-12-07
pubs.volume	2020-January
dc.location	Piscataway, USA

Abstract:

This paper proposes a low-complexity joint phase noise (PHN) estimation and decoding algorithm for orthogonal frequency division multiplexing relying on index modulation (OFDM-IM) systems. A factor graph (FG) is constructed based on the truncated discrete cosine transform (DCT) expansion model for the variation of PHN. In order to explicitly take into account the structured and sparse a priori information of the frequency-domain symbols provided by the soft-in soft-out (SISO) decoder, the generalized approximate message passing (GAMP) algorithm is employed. Furthermore, to solve the unknown and nonlinear transform matrix problem introduced by the PHN, the mean-field (MF) method is invoked at the observation nodes on the FG. Monte Carlo simulations show the superiority of the proposed algorithm over the existing variational inference (VI) and extended Kalman filter (EKF) methods in terms of their bit error rate (BER) performance and complexity. In addition, we demonstrate that the OFDM-IM scheme outperforms its conventional OFDM counterpart in the presence of PHN.

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http://hdl.handle.net/10453/148200