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  5. From OTFS to DD-ISAC: Integrating Sensing and Communications in the Delay Doppler Domain

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Article
en
2024

From OTFS to DD-ISAC: Integrating Sensing and Communications in the Delay Doppler Domain

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en
2024
Vol 31 (6)
Vol. 31
DOI: 10.1109/mwc.018.2300607

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H Vincent Vincent Poort
H Vincent Vincent Poort

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Weijie Yuan
Lin Zhou
Saeid K. Dehkordi
+4 more

Abstract

Next-generation wireless networks are expected to provide the capability of robust environmental sensing in addition to reliable communications to meet intelligence requirements. A promising solution is the integrated sensing and communication (ISAC) technology, which performs both functionalities using the same spectrum and hardware resources. Most existing works on ISAC consider the orthogonal frequency division multiplexing (OFDM) waveform. Nevertheless, the motion of a mobile user introduces Doppler shift, which breaks the subcarrier orthogonality and leads to performance degradation. The recently proposed orthogonal time frequency space (OTFS) modulation, which exploits various advantages of delay Doppler (DD) channels, has been shown to support reliable communication in high-mobility scenarios. Moreover, the DD waveform can directly interact with radar sensing parameters, which are actual delay and Doppler shifts. This article investigates the advantages of applying the DD communication waveform to ISAC. Specifically, we first provide a comprehensive overview of implementing DD communications, based on which several advantages of DD-ISAC over OFDM-based ISAC are revealed, including transceiver designs and the ambiguity function. Furthermore, a detailed performance comparison is presented, where the target detection probability and the mean squared error (MSE) performance are also studied. Finally, some challenges and opportunities of DD-ISAC are provided.

How to cite this publication

Weijie Yuan, Lin Zhou, Saeid K. Dehkordi, Shuangyang Li, Pingzhi Fan, Giuseppe Caire, H Vincent Vincent Poort (2024). From OTFS to DD-ISAC: Integrating Sensing and Communications in the Delay Doppler Domain. , 31(6), DOI: https://doi.org/10.1109/mwc.018.2300607.

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Publication Details

Type

Article

Year

2024

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1109/mwc.018.2300607

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