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<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>Majlesi Journal of Electrical Engineering</JournalTitle>
<Issn>2345-3796</Issn>
<Volume></Volume>
<Issue></Issue>
<PubDate PubStatus="epublish">
<Year>2026</Year>
<Month>11</Month>
<Day>06</Day>
</PubDate>
</Journal>
<ArticleTitle>Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space in a Non-Guard Band-Orthogonal Multiple Access Downlink Architecture for Vehicle-to-Infrastructure Networks</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.57647/j.mjee.2025.17385</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Ghasem</FirstName>
<LastName>Saeidi</LastName>
<Affiliation>Department of Electrical Engineering, Yazd University, Yazd, Iran</Affiliation>
<Identifier Source="ORCID">https://orcid.org/0000-0002-0653-6426</Identifier>
</Author>
<Author>
<FirstName>Hamid</FirstName>
<LastName>Saeedi-Sourck</LastName>
<Affiliation>Department of Electrical Engineering, Yazd University, Yazd, Iran</Affiliation>
<Identifier Source="ORCID">https://orcid.org/0000-0002-8363-5030</Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2026</Year>
<Month>11</Month>
<Day>06</Day>
</PubDate>
</History>
<Abstract>Orthogonal time frequency space (OTFS) modulation has emerged as a robust solution for high-mobility wireless communication and radar sensing by leveraging the delay-Doppler (DD) domain. This paper tackles challenges in resource allocation and multi-user interference (MUI) suppression in integrated sensing and communication (ISAC)-enabled vehicle-to-infrastructure (V2I) networks. We leverage a non-guard band-orthogonal multiple access (non-GB-OMA) scheme using interleaved DD-domain resource allocation with zero padding (ZP), thereby eliminating guard bands and reducing MUI. A two-dimensional (2D) correlation-based radar sensing method with an adaptive threshold detects user terminals (UTs), enabling UT-aware downlink resource allocation, channel estimation, and data detection. Channel estimation is treated as a sparse signal recovery problem, solved via the subspace pursuit (SP) algorithm using structured pilot patterns, a dedicated frame structure, and a specific external phase matrix. Furthermore, to combat high peak-to-average power ratio (PAPR) in OTFS systems, we employ low-power Zadoff-chu (Zch) and quadrature amplitude modulation (QAM) pilot sequences that maintain orthogonality and accuracy. Eventually, a two-stage feedback mechanism adapts the block linear-minimum mean square error (BL-MMSE) detector for data recovery. The proposed framework effectively manages PAPR, inter-symbol interference (ISI), and MUI, enhancing V2I communication reliability and efficiency under high mobility. Simulation results demonstrate improved SNR and BER performance.</Abstract>
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<Param Name="value">Orthogonal time frequency space</Param>
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<Object Type="keyword">
<Param Name="value">Integrated sensing and communication</Param>
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<Object Type="keyword">
<Param Name="value">Orthogonal multiple access</Param>
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<Object Type="keyword">
<Param Name="value">Channel estimation</Param>
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<Object Type="keyword">
<Param Name="value">Data detection</Param>
</Object>
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</Article>
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