Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World Environments
With the explosive growth of unmanned aerial vehicle (UAV) applications in numerous fields, low-altitude networks face formidable challenges in monitoring. In this context, integrated sensing and communication (ISAC) networks through three-dimensional (3D) wide-area sensing have emerged as the key s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/9/4/283 |
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| author | Xiao Li Xue Ding Weiliang Xie Wenbo Wang Jinyang Yu Wen-Yu Dong |
| author_facet | Xiao Li Xue Ding Weiliang Xie Wenbo Wang Jinyang Yu Wen-Yu Dong |
| author_sort | Xiao Li |
| collection | DOAJ |
| description | With the explosive growth of unmanned aerial vehicle (UAV) applications in numerous fields, low-altitude networks face formidable challenges in monitoring. In this context, integrated sensing and communication (ISAC) networks through three-dimensional (3D) wide-area sensing have emerged as the key solution. However, the differences in networking mechanisms between communication and sensing, along with the transition from two-dimensional (2D) to 3D networking, complicate the realization of seamless 3D sensing. We aimed to address these challenges by analyzing the sensing capabilities of a single base station and the disparities between communication and sensing. Based on this, an innovative 3D sensing model for ISAC single base stations was proposed, defining the sensing boundaries and providing a foundation for designing the key parameters of ISAC base stations. Additionally, a multi-base station (multi-BS) low-altitude networked 3D sensing cellular-like architecture was proposed, overcoming the limitations of traditional 2D networks and achieving seamless 3D sensing. To validate the effectiveness of the model, comprehensive tests were conducted in both controlled laboratory conditions and real-world commercial network environments. The results show that the model successfully achieved stable and continuous sensing with the expected coverage and accuracy in networked environments. |
| format | Article |
| id | doaj-art-2d47502f1bd9457a8880de742fa68f91 |
| institution | OA Journals |
| issn | 2504-446X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-2d47502f1bd9457a8880de742fa68f912025-08-20T02:28:14ZengMDPI AGDrones2504-446X2025-04-019428310.3390/drones9040283Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World EnvironmentsXiao Li0Xue Ding1Weiliang Xie2Wenbo Wang3Jinyang Yu4Wen-Yu Dong5Mobile and Terminal Technology Research Department, China Telecom Research Institute, Beijing 102209, ChinaMobile and Terminal Technology Research Department, China Telecom Research Institute, Beijing 102209, ChinaMobile and Terminal Technology Research Department, China Telecom Research Institute, Beijing 102209, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaMobile and Terminal Technology Research Department, China Telecom Research Institute, Beijing 102209, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaWith the explosive growth of unmanned aerial vehicle (UAV) applications in numerous fields, low-altitude networks face formidable challenges in monitoring. In this context, integrated sensing and communication (ISAC) networks through three-dimensional (3D) wide-area sensing have emerged as the key solution. However, the differences in networking mechanisms between communication and sensing, along with the transition from two-dimensional (2D) to 3D networking, complicate the realization of seamless 3D sensing. We aimed to address these challenges by analyzing the sensing capabilities of a single base station and the disparities between communication and sensing. Based on this, an innovative 3D sensing model for ISAC single base stations was proposed, defining the sensing boundaries and providing a foundation for designing the key parameters of ISAC base stations. Additionally, a multi-base station (multi-BS) low-altitude networked 3D sensing cellular-like architecture was proposed, overcoming the limitations of traditional 2D networks and achieving seamless 3D sensing. To validate the effectiveness of the model, comprehensive tests were conducted in both controlled laboratory conditions and real-world commercial network environments. The results show that the model successfully achieved stable and continuous sensing with the expected coverage and accuracy in networked environments.https://www.mdpi.com/2504-446X/9/4/283low-altitude networked sensingintegrated sensing and communicationsingle base station sensing modelcellular-like architectureunmanned aerial vehicle |
| spellingShingle | Xiao Li Xue Ding Weiliang Xie Wenbo Wang Jinyang Yu Wen-Yu Dong Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World Environments Drones low-altitude networked sensing integrated sensing and communication single base station sensing model cellular-like architecture unmanned aerial vehicle |
| title | Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World Environments |
| title_full | Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World Environments |
| title_fullStr | Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World Environments |
| title_full_unstemmed | Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World Environments |
| title_short | Low-Altitude Sensing Model: Analysis Leveraging ISAC in Real-World Environments |
| title_sort | low altitude sensing model analysis leveraging isac in real world environments |
| topic | low-altitude networked sensing integrated sensing and communication single base station sensing model cellular-like architecture unmanned aerial vehicle |
| url | https://www.mdpi.com/2504-446X/9/4/283 |
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