Innovative Construction and Performance Optimization of UAVs Relay Networks in Maritime Communications

Zhenjun Wang

doi:10.54254/2755-2721/2025.GL28755

Applied and Computational EngineeringOpen access

Innovative Construction and Performance Optimization of UAVs Relay Networks in Maritime Communications

Research Article

Open Access

Innovative Construction and Performance Optimization of UAVs Relay Networks in Maritime Communications

Zhenjun Wang ^1*

¹ Wuhan University of Technology

^*Corresponding author: 2584302554@qq.com

Published on 28 October 2025

ACE Vol.201

ISSN (Print): 2755-273X

ISSN (Online): 2755-2721

ISBN (Print): 978-1-80590-493-9

ISBN (Online): 978-1-80590-494-6

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Abstract

The smooth operation of maritime trade and ocean transportation depends heavily on a stable maritime communication system, which ensures vessel navigation safety and directly impacts global supply chain efficiency. Traditional communication methods have significant maritime limitations: shore stations suffer severe signal loss over long distances due to geographic constraints, while satellites, despite wide coverage, are costly, bandwidth-limited, and unsuitable for large data transmission. This leaves some areas with unstable or no communication, failing to meet the growing demands of maritime operations. This paper proposes an innovative solution: employing drones as communication relay nodes to build a dynamic network. It leverages UAVs’ low-cost and reusable advantages, reducing overall signal transmission costs via cluster-based collaborative deployment. Moreover, UAVs’ rapid deployment and flexible mobility allow real-time adjustment of relay positions according to vessel trajectories, effectively addressing coverage blind spots from terrain obstructions and signal reflections in complex marine environments—limitations traditional fixed base stations cannot overcome. This enables flexible coverage enhancement and dynamic expansion of maritime communication networks. Additionally, the solution improves UAV communication modules’ protection in marine environments with high salt fog and strong electromagnetic interference, boosting system stability in harsh conditions. A band-stop filter is installed at the receiving link front end to block Gaussian white noise, while non-uniform and increased channel spacing suppress four-wave mixing noise. These optimizations enhance the signal-to-noise ratio and reduce noise transmission. Experimental verification shows the optimized scheme extends UAV-relayed signal transmission distance, lowers error rates, and ensures clear, integral data transmission.

Keywords:

UAV, maritime communication, noise, relay node

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References

[1]. Review of Maritime Transport, 2018, [online] Available: https: //unctad.org/publication/review-maritime-transport-2018.

[3]. I. Jaen, "INMARSAT's role in the GMDSS, " IEE Colloquium on Satellite Distress and Safety Systems, London, UK, 1993, pp. 4/1-4/5.

[11]. Liu, Chuhuan, et al. "Towards reinforcement learning in UAV relay for anti-jamming maritime communications." Digital Communications and Networks 9.6 (2023): 1477-1485.

[13]. Wang, Zhongyu, et al. "Joint power minimization and trajectory design for collaborative communication, sensing, and computing in uav networks." Ad Hoc Networks (2025): 103873.

[16]. Sussman, E.: The microlocal irregularity of Gaussian noise. Stud. Math. 266, 1–54 (2022). arXiv: 2012.07084 [math.SP]

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Cite this article

Wang,Z. (2025). Innovative Construction and Performance Optimization of UAVs Relay Networks in Maritime Communications. Applied and Computational Engineering,201,9-17.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-FMCE 2025 Symposium: Semantic Communication for Media Compression and Transmission

ISBN: 978-1-80590-493-9(Print) / 978-1-80590-494-6(Online)

Editor: Anil Fernando

Conference website: https://2025.conffmce.org/glasgow.html

Conference date: 24 October 2025

Series: Applied and Computational Engineering

Volume number: Vol.201

ISSN: 2755-2721(Print) / 2755-273X(Online)

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