Wireless Communications in Doubly Selective Channels with Domain Adaptivity

Zhang, JA; Zhang, H; Wu, K; Huang, X; Yuan, J; Guo, YJ

Wireless Communications in Doubly Selective Channels with Domain Adaptivity

Zhang, JA Zhang, H Wu, K Huang, X

Yuan, J Guo, YJ

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Communications Magazine, 2025, PP, (99), pp. 1-7
Issue Date:: 2025-01-01

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Field	Value	Language
dc.contributor.author	Zhang, JA
dc.contributor.author	Zhang, H
dc.contributor.author	Wu, K
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732
dc.contributor.author	Yuan, J
dc.contributor.author	Guo, YJ
dc.date.accessioned	2025-04-02T02:41:09Z
dc.date.available	2025-04-02T02:41:09Z
dc.date.issued	2025-01-01
dc.identifier.citation	IEEE Communications Magazine, 2025, PP, (99), pp. 1-7
dc.identifier.issn	0163-6804
dc.identifier.issn	1558-1896
dc.identifier.uri	http://hdl.handle.net/10453/186442
dc.description.abstract	Wireless communications are significantly impacted by the propagation environment, particularly in doubly selective channels with variations in both time and frequency domains. Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution; however, its high equalization complexity, if performed in the delay-Doppler domain, limits its universal application. This article explores domain-adaptive system design, with an emphasis on adaptive equalization. It investigates the dynamic selection of best-fit domains based on channel conditions to enhance performance across diverse environments. We examine channel domain connections, signal designs, and equalization techniques with domain adaptivity, and highlight future research opportunities.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://purl.org/au-research/grants/arc/DP210101411
dc.relation	http://purl.org/au-research/grants/arc/DP220101158
dc.relation.ispartof	IEEE Communications Magazine
dc.relation.isbasedon	10.1109/MCOM.001.2400417
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Wireless Communications in Doubly Selective Channels with Domain Adaptivity
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Global Big Data Technologies Centre (GBDTC)
utslib.copyright.status	open_access	*
dc.date.updated	2025-04-02T02:41:08Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

Wireless communications are significantly impacted by the propagation environment, particularly in doubly selective channels with variations in both time and frequency domains. Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution; however, its high equalization complexity, if performed in the delay-Doppler domain, limits its universal application. This article explores domain-adaptive system design, with an emphasis on adaptive equalization. It investigates the dynamic selection of best-fit domains based on channel conditions to enhance performance across diverse environments. We examine channel domain connections, signal designs, and equalization techniques with domain adaptivity, and highlight future research opportunities.

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http://hdl.handle.net/10453/186442