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| Autores principales: | , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2603.14912 |
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| _version_ | 1866910054096044032 |
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| author | Zhou, Nanhao Zou, Chao Zhou, Yu Tang, Yanqun Zhang, Xiaoying Yin, Haoran Yin, Xuefeng Zhang, Yuxiang Fei, Dan Jiang, Fan |
| author_facet | Zhou, Nanhao Zou, Chao Zhou, Yu Tang, Yanqun Zhang, Xiaoying Yin, Haoran Yin, Xuefeng Zhang, Yuxiang Fei, Dan Jiang, Fan |
| contents | Channel models are essential for the design, evaluation, and optimization of wireless communication systems. The emerging space-air-ground-sea integrated network (SAGSIN), characterized by diverse service applications and extended-spectrum operations, places even greater demands on highly accurate channel models. However, conventional channel sounding is limited by generalized measurement campaigns, inadequate cross-band consistency, and insufficient real-time adaptability, making it unable to meet the needs of SAGSIN for scenario-specific and high-precision channel modeling. To address this challenge, we propose a novel technological framework, termed integrated channel sounding and communication (ICSC). By deeply integrating sounding and communication, the ICSC enables efficient and real-time acquisition of dynamic channel characteristics during communication processes, supporting fine-grained site- and scenario-specific measurements. Furthermore, leveraging artificial intelligence techniques, ICSC can identify channel conditions and adapt waveform parameters in real-time according to scenario variations, which in turn enhances communication performance. This article first introduces the fundamental principles of the ICSC framework, elaborates on its core concepts and key advantages, and demonstrates its feasibility through the development of an integrated verification system (IVS). Subsequently, the potential applications and opportunities of the ICSC are analyzed in depth, followed by a discussion of its future development directions and remaining challenges. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_14912 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Integrated Channel Sounding and Communication: Requirements, Architecture, Challenges, and Key Technologies Zhou, Nanhao Zou, Chao Zhou, Yu Tang, Yanqun Zhang, Xiaoying Yin, Haoran Yin, Xuefeng Zhang, Yuxiang Fei, Dan Jiang, Fan Signal Processing Channel models are essential for the design, evaluation, and optimization of wireless communication systems. The emerging space-air-ground-sea integrated network (SAGSIN), characterized by diverse service applications and extended-spectrum operations, places even greater demands on highly accurate channel models. However, conventional channel sounding is limited by generalized measurement campaigns, inadequate cross-band consistency, and insufficient real-time adaptability, making it unable to meet the needs of SAGSIN for scenario-specific and high-precision channel modeling. To address this challenge, we propose a novel technological framework, termed integrated channel sounding and communication (ICSC). By deeply integrating sounding and communication, the ICSC enables efficient and real-time acquisition of dynamic channel characteristics during communication processes, supporting fine-grained site- and scenario-specific measurements. Furthermore, leveraging artificial intelligence techniques, ICSC can identify channel conditions and adapt waveform parameters in real-time according to scenario variations, which in turn enhances communication performance. This article first introduces the fundamental principles of the ICSC framework, elaborates on its core concepts and key advantages, and demonstrates its feasibility through the development of an integrated verification system (IVS). Subsequently, the potential applications and opportunities of the ICSC are analyzed in depth, followed by a discussion of its future development directions and remaining challenges. |
| title | Integrated Channel Sounding and Communication: Requirements, Architecture, Challenges, and Key Technologies |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2603.14912 |