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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2500547


Integrated communication-sensing-navigation-control for low-altitude digital-intelligent networks: architecture, enabling technologies, and experimental validation


Author(s):  Jiapeng LI, Qixun ZHANG, Jinglin LI, Dingyou MA, Zhiyong FENG, Tingyu LI, Jiajun HOU

Affiliation(s):  Beijing University of Posts and Telecommunications, Beijing 100876, China

Corresponding email(s):   li_jiapeng@bupt.edu.cn, zhangqixun@bupt.edu.cn, jlli@bupt.edu.cn, dingyouma@bupt.edu.cn, fengzy@bupt.edu.cn, litingyu@bupt.edu.cn, houjiajun@bupt.edu.cn

Key Words:  Low-altitude economy, ISAC, Airspace management, UAVs, Cyber-physical system


Jiapeng LI, Qixun ZHANG, Jinglin LI, Dingyou MA, Zhiyong FENG, Tingyu LI, Jiajun HOU. Integrated communication-sensing-navigation-control for low-altitude digital-intelligent networks: architecture, enabling technologies, and experimental validation[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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Abstract: 
The rapid advancement of the low-altitude economy (LAE) necessitates a fundamental shift from fragmented systems toward deeply integrated communication, sensing, navigation, and control capabilities. To this end, this paper proposes the Low-Altitude Digital-Intelligent Network (LADIN) as an overarching architecture, with integrated sensing and communication (ISAC) serving as the core enabling technology that pervasively unifies its three layers. At the Heterogeneous Infrastructure Layer, we detail an ISAC waveform design based on orthogonal frequency division multiplexing, enabling dual-purpose hardware to simultaneously achieve high-speed data transmission and high-precision environmental sensing. Within the Intelligent Data Fusion Layer, ISACs role expands into a multi-modal fusion paradigm, providing the crucial electromagnetic sensing modality. This layer constructs the unified spatiotemporal features pace by introducing pluggable back-projection adapters and spatiotemporal modeling. These adapters systematically integrate heterogeneous data from ISAC, optical cameras, and LiDAR by inverting their respective observation models, thereby overcoming representational disparities and association ambiguities. At the Service and Management Layer, this coherent representation directly drives algorithmic processes and control policies. ISAC resources are virtualized into dynamically allocable assets, enabling closed-loop control that is responsive to the real-time state of the feature space--such as reconfiguring base station operational modes based on live situational awareness. Validation through multi-frequency collaborative sensing and multi-modal fusion use cases demonstrates significant performance gains in tracking robustness, detection of near-zero radar cross section targets like balloons, and seamless urban airspace governance, conclusively establishing the transformative potential of a deeply integrated, ISAC-centric approach for future LAE systems.

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