Proper Sea Surface Roughness Enhances the Performance of Near-Shore Maritime Networks

📅 2026-08-20
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
本文通过引入海面粗糙度修正的反射系数和非均匀泊松点过程模型,改进了近岸海域无线通信性能分析方法,揭示了海况对可靠性-容量权衡的影响。
📝 Abstract
Accurate performance analysis for near-shore maritime wireless communication is essential for ensuring robust and reliable operations. However, existing analytical models often rely on oversimplified propagation assumptions, such as a perfectly smooth sea surface, which fail to capture the full dynamics of the maritime channel. In this paper, we develop a physically grounded analytical framework using stochastic geometry that bridges this gap. The spatial distribution of vessels is modeled as a non-homogeneous Poisson point process to reflect realistic near-port densities. We replace the idealized smooth-sea assumption by deriving a novel reflection coefficient from the classical Rayleigh criterion, which explicitly links the path loss to the significant wave height. Integrating this roughness-aware channel model into the stochastic geometry framework, we derive new analytical expressions for the uplink coverage probability and average ergodic rate, providing the first tractable characterization of aggregate interference under such dynamic conditions. The analysis reveals a sea-state-dependent reliability--capacity trade-off: roughness-induced attenuation of the coherent specular reflection can suppress destructive-interference nulls and improve reliability-oriented coverage, while reducing high-SINR and average-rate performance. Available measurements support the underlying roughness-sensitive reflection mechanism, but direct VHF validation under rough sea conditions remains unavailable; the corresponding rough-sea results are therefore interpreted as model-based predictions. A cross-frequency ablation further confirms the wavelength dependence of the roughness effect and shows that the reflection coefficient must be evaluated for the operating frequency.
Problem

Research questions and friction points this paper is trying to address.

near-shore maritime wireless communication
sea surface roughness
performance analysis
Innovation

Methods, ideas, or system contributions that make the work stand out.

stochastic geometry
non-homogeneous Poisson point process
reflection coefficient
significant wave height
sea-state-dependent reliability-capacity trade-off
🔎 Similar Papers
No similar papers found.
W
Wen-Yu Dong
Future Technology Research Center, China Telecom Research Institute, Beijing 102209, China
Shaoshi Yang
Shaoshi Yang
Professor, Beijing University of Posts and Telecommunications
6GMIMOdistributed AIwireless localizationflying ad hoc network
S
Song Zhao
Future Technology Research Center, China Telecom Research Institute, Beijing 102209, China
J
Jinyang Yu
Future Technology Research Center, China Telecom Research Institute, Beijing 102209, China
W
Weiliang Xie
Mobile and Terminal Technology Research Department, China Telecom Research Institute, Beijing 102209, China
R
Rui-Si Han
Cloud Network Operating System R&D Center, China Telecom, Beijing 102209, China
Q
Qi Bi
Future Technology Research Center, China Telecom Research Institute, Beijing 102209, China
S
Sheng Chen
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K.