Development of Predictive Mathematical Model for Millimeter Wave Degradation in Sandstorm Regions

The advent of millimeter wave (mm-Wave) technology in modern communication systems, including 5G networks, has brought about unprecedented data transmission speeds and bandwidths. However, environmental factors highly affect mm-Wave signals, particularly in regions susceptible to dust and sand storms. Dust storms, characterized by high concentrations of suspended particles, lead to significant signal attenuation and degradation during the absorbed and scattered incident wave. This attenuation poses challenges to the reliability and performance of mm-Wave communication systems. The previous research used Mie theory to compute the specific attenuation due to dusty storms because it provides a complete analytical solution to Maxwell's equations compared to other analytical and numerical methods. However, the Mie scattering model lacks accuracy due to consideration of only the amplitude of the attenuation factor with respect to the dust and sand environment. This paper presents the development of predictive mathematical models designed to estimate mm-Wave signal degradation in dust and sand storm conditions. The models integrate key physical parameters such as dust particle size distribution, storm intensity, signal frequency, and atmospheric conditions.The predictive model demonstrates a significant accuracy in estimating signal attenuation by considering the phase shift in signal by introducing complex attenuation factor. We mathematically demonstrated that dust and sandstorms can cause mm-Wave signal attenuation but also cause a significant signal phase shift. This complex attenuation factor provides valuable insights for network engineers to design and optimize mm-Wave communi cation systems in dust-prone environments. Comparative analysis with existing models underscores the proposed models' enhanced predictive capability and flexibility in adapting to diverse dust storm scenarios.The research outcomes contribute to the ongoing efforts to improve mm-Wave communication technologies' resilience and robustness, ensuring reliable connectivity even in challenging environmental conditions.