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arXiv · 2610.02457

Topology-Aware Integrated Sensing, Communication, Charging in Massive Low-Altitude Wireless Network

Han Yu·Jiajun He·Zhaofeng Liu·Hing Cheung So
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Abstract

Future low-altitude wireless networks (LAWNs) are expected to simultaneously support sensing, communication, and charging, resulting in tightly coupled multi-objective optimization problems with strong interdependencies among heterogeneous functions. However, existing multi-objective frameworks typically rely on complex problem-specific formulations and alternating optimization procedures, which suffer from high computational complexity and limited scalability in large-scale, highly dynamic deployments. In this paper, we propose a unified topology-aware (TA) framework that abstracts terrestrial and non-terrestrial devices as nodes, and models their interactions as edges, forming a bipartite graph representation of the LAWN. By leveraging this graph representation, we develop a low-complexity topology reconfiguration algorithm based on a unified resource-adjustment rule. Simulation results demonstrate that the proposed TA-based method consistently outperforms state-of-the-art approaches in multi-functional coordination efficiency, while maintaining robustness and scalability in scenarios involving massive terrestrial and airborne user equipments.

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Han Yu, Jiajun He, Zhaofeng Liu, Hing Cheung So. 2026-10-01. Topology-Aware Integrated Sensing, Communication, Charging in Massive Low-Altitude Wireless Network. https://arxiv.org/abs/2610.02457

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