10.57647/j.mjee.2025.17385

Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space in a Non-Guard Band-Orthogonal Multiple Access Downlink Architecture for Vehicle-to-Infrastructure Networks

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  • Ghasem Saeidi1,
  • Hamid Saeedi-Sourck*1,
  1. Department of Electrical Engineering, Yazd University, Yazd, Iran

Received: 2025-04-30

Revised: 2025-05-29

Accepted: 2025-07-18

Published in Issue 2025-08-26

Copyright (c) 2025 Ghasem Saeidi, Hamid Saeedi-Sourck (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Saeidi, G., & Saeedi-Sourck, H. (2025). Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space in a Non-Guard Band-Orthogonal Multiple Access Downlink Architecture for Vehicle-to-Infrastructure Networks. Majlesi Journal of Electrical Engineering. https://doi.org/10.57647/j.mjee.2025.17385
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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.

Keywords

  • Orthogonal time frequency space,
  • Integrated sensing and communication,
  • Orthogonal multiple access,
  • Channel estimation,
  • Data detection
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