Research on Ground Wide-Area Network Communication Coverage Method Based on Multi-UAV Swarm

Xingyu Zhu

doi:10.47297/taposatWSP2633-456945.20250608

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Research on Ground Wide-Area Network Communication Coverage Method Based on Multi-UAV Swarm

Volume 6, Issue 8

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Research on Ground Wide-Area Network Communication Coverage Method Based on Multi-UAV Swarm
Research on Ground Wide-Area Network Communication Coverage Method Based on Multi-UAV Swarm
School of Humanities, Beijing Institute of Technology, Haidian District, Beijing, 100081, China
Vol. 6, Issue 8, Pages: 240-244(2025)
Published：30 August 2025
DOI：10.47297/taposatWSP2633-456945.20250608
Accepted：

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Zhu Xingyu.Research on Ground Wide-Area Network Communication Coverage Method Based on Multi-UAV Swarm[J].Theory and Practice of Science and Technology,2025,06(08):240-244.
DOI：

Zhu Xingyu.Research on Ground Wide-Area Network Communication Coverage Method Based on Multi-UAV Swarm[J].Theory and Practice of Science and Technology,2025,06(08):240-244. DOI： 10.47297/taposatWSP2633-456945.20250608.

摘要

Abstract

With the rapid development of 5G/6G

smart cities

and emergency communications

traditional ground communication infrastructure has exposed bottlenecks such as long deployment cycles and poor adaptability in rapid response

wide-area coverage

and dynamic scheduling. Due to their high mobility

flexible networking

and rapid deployment capabilities

multi-UAV swarms are regarded as a key technology to enhance ground wide-area network communication coverage. However

shortcomings remain in multi-dimensional environment perception

swarm adaptive control and self-healing

and edge intelligence collaboration and proactive resource scheduling capabilities. This paper proposes a comprehensive method integrating multi-source heterogeneous perception—edge computing—multi-agent reinforcement learning (MARL)—and user intention prediction

aiming to achieve wide-area communication coverage and resilience enhancement in complex dynamic environments. It also proposes a simulation–physical system integrated verification approach. The core ideas include: constructing a swarm self-organizing/self-healing model driven by multi-dimensional perception

designing edge intelligence collaboration and global consistency mechanisms

establishing a user-intention-driven proactive resource scheduling system

and building an evaluation framework based on NS-3/OMNeT++ and physical platforms. The proposed solution is oriented toward scenarios such as emergency communication

smart cities

and coverage in remote areas

demonstrating significant potential for engineering application.

关键词

Keywords

references

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