From OFDM to AFDM: Enabling Adaptive Integrated Sensing and Communication in High-Mobility Scenarios
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866912679266877440 |
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| author | Yin, Haoran Tang, Yanqun Xiong, Jun Liu, Fan Ni, Yuanhan Luo, Qu Bomfin, Roberto Chafii, Marwa Kountouris, Marios Masouros, Christos |
| author_facet | Yin, Haoran Tang, Yanqun Xiong, Jun Liu, Fan Ni, Yuanhan Luo, Qu Bomfin, Roberto Chafii, Marwa Kountouris, Marios Masouros, Christos |
| contents | Integrated sensing and communication (ISAC) is a key feature of next-generation wireless networks, enabling a wide range of emerging applications such as vehicle-to-everything (V2X) and unmanned aerial vehicles (UAVs), which operate in high-mobility scenarios. Notably, the wireless channels within these applications typically exhibit severe delay and Doppler spreads. The latter causes serious communication performance degradation in the Orthogonal Frequency-Division Multiplexing (OFDM) waveform that is widely adopted in current wireless networks. To address this challenge, the recently proposed Doppler-resilient affine frequency division multiplexing (AFDM) waveform, which uses flexible chirp signals as subcarriers, shows great potential for achieving adaptive ISAC in high-mobility scenarios. This article provides a comprehensive overview of AFDM-ISAC. We begin by presenting the fundamentals of AFDM-ISAC, highlighting its inherent frequency-modulated continuous-wave (FMCW)-like characteristics. Then, we explore its ISAC performance limits by analyzing its diversity order, ambiguity function (AF), and Cramer-Rao Bound (CRB). Finally, we present several effective sensing algorithms and opportunities for AFDM-ISAC, with the aim of sparking new ideas in this emerging field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_27192 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From OFDM to AFDM: Enabling Adaptive Integrated Sensing and Communication in High-Mobility Scenarios Yin, Haoran Tang, Yanqun Xiong, Jun Liu, Fan Ni, Yuanhan Luo, Qu Bomfin, Roberto Chafii, Marwa Kountouris, Marios Masouros, Christos Signal Processing Integrated sensing and communication (ISAC) is a key feature of next-generation wireless networks, enabling a wide range of emerging applications such as vehicle-to-everything (V2X) and unmanned aerial vehicles (UAVs), which operate in high-mobility scenarios. Notably, the wireless channels within these applications typically exhibit severe delay and Doppler spreads. The latter causes serious communication performance degradation in the Orthogonal Frequency-Division Multiplexing (OFDM) waveform that is widely adopted in current wireless networks. To address this challenge, the recently proposed Doppler-resilient affine frequency division multiplexing (AFDM) waveform, which uses flexible chirp signals as subcarriers, shows great potential for achieving adaptive ISAC in high-mobility scenarios. This article provides a comprehensive overview of AFDM-ISAC. We begin by presenting the fundamentals of AFDM-ISAC, highlighting its inherent frequency-modulated continuous-wave (FMCW)-like characteristics. Then, we explore its ISAC performance limits by analyzing its diversity order, ambiguity function (AF), and Cramer-Rao Bound (CRB). Finally, we present several effective sensing algorithms and opportunities for AFDM-ISAC, with the aim of sparking new ideas in this emerging field. |
| title | From OFDM to AFDM: Enabling Adaptive Integrated Sensing and Communication in High-Mobility Scenarios |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2510.27192 |