Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909763211624448 |
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| author | Zhang, Hao Zhou, Fuhui Yuen, Qihui Wuand Chau |
| author_facet | Zhang, Hao Zhou, Fuhui Yuen, Qihui Wuand Chau |
| contents | In response to the growing complexity and demands of future wireless communication networks, spectrum cognition has emerged as an essential technique for optimizing spectrum utilization in next-generation wireless networks. This article presents a comprehensive overview of spectrum cognition, underscoring its critical role in enhancing the efficiency and security of future wireless systems through the innovative perspective of "data processing to signal analysis to semantic situation". Semantic situation, as the highest level of spectrum cognition, enables the extraction of meaningful information from raw spectrum data to provide intelligent support for network decisions. We formally define spectrum cognition, clearly distinguishing it from traditional spectrum sensing, and delve into the latest advancements in both traditional and intelligent spectrum cognition frameworks, addressing key challenges in spectrum cognition. Furthermore, we propose concrete technical solutions to address these challenges, highlighting the transformative potential of semantic situation in shaping next-generation wireless systems. Our findings not only contribute to the theoretical understanding of spectrum cognition but also offer practical insights for its implementation in real-world scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_00851 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management Zhang, Hao Zhou, Fuhui Yuen, Qihui Wuand Chau Signal Processing In response to the growing complexity and demands of future wireless communication networks, spectrum cognition has emerged as an essential technique for optimizing spectrum utilization in next-generation wireless networks. This article presents a comprehensive overview of spectrum cognition, underscoring its critical role in enhancing the efficiency and security of future wireless systems through the innovative perspective of "data processing to signal analysis to semantic situation". Semantic situation, as the highest level of spectrum cognition, enables the extraction of meaningful information from raw spectrum data to provide intelligent support for network decisions. We formally define spectrum cognition, clearly distinguishing it from traditional spectrum sensing, and delve into the latest advancements in both traditional and intelligent spectrum cognition frameworks, addressing key challenges in spectrum cognition. Furthermore, we propose concrete technical solutions to address these challenges, highlighting the transformative potential of semantic situation in shaping next-generation wireless systems. Our findings not only contribute to the theoretical understanding of spectrum cognition but also offer practical insights for its implementation in real-world scenarios. |
| title | Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.00851 |