Extended Time Varying Multi-Cluster Fluctuating Two-Ray Fading Model for Maritime Environment

TL;DR

This paper introduces an extended MFTR fading model tailored for maritime environments, incorporating time-varying effects, large-scale fading, and Doppler shifts to better simulate high-speed vessel communication channels.

Contribution

It develops a novel extension to the MFTR model that includes dynamic channel parameters and physical maritime factors, improving modeling accuracy for maritime communication systems.

Findings

The extended model accurately captures time-varying channel characteristics.

Simulation results demonstrate improved modeling of maritime fading phenomena.

The model accounts for Doppler shifts and large-scale fading effects.

Abstract

The recent advancements in autonomous and remote operation of maritime vessels necessitates the development of robust and reliable communication systems to support high-bandwidth applications such as real-time monitoring, navigation, and control. Existing communication channel models, including Rayleigh and Rician fading, are inadequate to accurately describe the dynamic and complex nature of maritime communication, particularly for high-speed vessels in coastal environments. This paper proposes an extension to the Multi-Cluster Fluctuating Two-Ray Fading (MFTR) model that also accounts for key phenomena such as large-scale fading, time-varying parameters and Doppler shifts. The extended MFTR model integrates Stochastic Differential Equations (SDEs) to capture the time-varying characteristics of the channel, such as phase shifts and delays, while considering physical factors like delay-induced power loss and path loss. The accuracy of the proposed model is assessed in simulation.