Affine Frequency Division Multiplexing for Communication and Channel Sounding: Requirements, Challenges, and Key Technologies
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arXiv
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| Autori principali: | , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866916958984732672 |
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| author | Zhou, Yu Zou, Chao Zhou, Nanhao Tang, Yanqun Zhang, Xiaoying Yin, Haoran Liu, Xiaoran He, Ruisi Tang, Pan Yuan, Weijie Zeng, Yong |
| author_facet | Zhou, Yu Zou, Chao Zhou, Nanhao Tang, Yanqun Zhang, Xiaoying Yin, Haoran Liu, Xiaoran He, Ruisi Tang, Pan Yuan, Weijie Zeng, Yong |
| contents | Channel models are crucial for theoretical analysis, performance evaluation, and deployment of wireless communication systems. Traditional channel sounding systems are insufficient for handling the dynamic changes of channels in the next-generation space-air-ground-sea integrated networks (SAGSIN), which often results in outdated channel models that fail to provide reliable prior information for communication systems. To address this challenge, this paper proposes an integrated channel sounding and communication (ICSC) method as a practical solution. Unlike orthogonal frequency division multiplexing, affine frequency division multiplexing (AFDM) provides a full delay-Doppler representation of the channel, achieving optimal diversity in time-frequency doubly dispersive channels and effectively addressing the aforementioned challenges. Thus, we investigate the fundamental principles of AFDM, showing how it enables simultaneous communication and channel sounding, and explore key performance metrics for both functionalities. We also clarify the distinction and relationship between channel sounding, estimation, tracking and scatterer sensing. Additionally, several potential application scenarios for AFDM-ICSC are explored. Finally, we highlight the key challenges in implementing AFDM-ICSC, outline future research directions, and provide valuable insights for the continued development of this technology. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_16643 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Affine Frequency Division Multiplexing for Communication and Channel Sounding: Requirements, Challenges, and Key Technologies Zhou, Yu Zou, Chao Zhou, Nanhao Tang, Yanqun Zhang, Xiaoying Yin, Haoran Liu, Xiaoran He, Ruisi Tang, Pan Yuan, Weijie Zeng, Yong Signal Processing Channel models are crucial for theoretical analysis, performance evaluation, and deployment of wireless communication systems. Traditional channel sounding systems are insufficient for handling the dynamic changes of channels in the next-generation space-air-ground-sea integrated networks (SAGSIN), which often results in outdated channel models that fail to provide reliable prior information for communication systems. To address this challenge, this paper proposes an integrated channel sounding and communication (ICSC) method as a practical solution. Unlike orthogonal frequency division multiplexing, affine frequency division multiplexing (AFDM) provides a full delay-Doppler representation of the channel, achieving optimal diversity in time-frequency doubly dispersive channels and effectively addressing the aforementioned challenges. Thus, we investigate the fundamental principles of AFDM, showing how it enables simultaneous communication and channel sounding, and explore key performance metrics for both functionalities. We also clarify the distinction and relationship between channel sounding, estimation, tracking and scatterer sensing. Additionally, several potential application scenarios for AFDM-ICSC are explored. Finally, we highlight the key challenges in implementing AFDM-ICSC, outline future research directions, and provide valuable insights for the continued development of this technology. |
| title | Affine Frequency Division Multiplexing for Communication and Channel Sounding: Requirements, Challenges, and Key Technologies |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.16643 |