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Performance Analysis of Solar-Powered Microwave Backhaul Systems in Desert Environments


Authors : Al-Mutasim Mohamed Moussa; Amer R. Zerek; Jaouher Ben Ali

Volume/Issue : Volume 11 - 2026, Issue 6 - June


Google Scholar : https://tinyurl.com/mpxtm833

Scribd : https://tinyurl.com/32rmwbyd

DOI : https://doi.org/10.38124/ijisrt/26jun1653

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The increasing demand for reliable wireless connectivity in remote areas has highlighted the need for sustainable communication infrastructure. Microwave backhaul systems provide an effective solution for connecting isolated base stations due to their high capacity, flexibility, and rapid deployment capabilities. However, desert environments present significant challenges, including limited power availability, extreme temperatures, dust accumulation, and atmospheric effects that may reduce communication reliability. This paper investigates the performance of a solar-powered microwave backhaul system designed for desert regions. The proposed model integrates photovoltaic (PV) power generation, battery storage, and microwave link performance analysis under varying environmental conditions. A MATLAB-based simulation is developed to evaluate PV energy production, battery state of charge (SOC), received signal power, dust-induced attenuation, and link availability. The results indicate that properly designed solar energy systems can provide reliable power for remote microwave communication networks while maintaining acceptable link performance under harsh desert conditions. The proposed framework supports the deployment of sustainable communication infrastructure in high solar potential regions, particularly in North Africa.

Keywords : Solar Energy, Microwave Backhaul, Desert Environment, Photovoltaic System, Renewable Energy, Wireless Communication, Link Availability, MATLAB Simulation.

References :

  1. E. A. A. Elsheikh et al., "Air Born Dust Particles Effects on Microwave Propagation in Arid Area," IEEE Conference.
  2. S. Fadil and N. Abuhamoud, "Prediction of Microwave Signal Attenuation due to Dust and Sand Storms at 4–18 GHz: Case Study South of Libya."
  3. M. Z. M. Shamim et al., "Signal Attenuation Prediction Model for Terrestrial Communication Links Due to Dust and Sand Storms," IEEE Access.
  4. IEEE Standard for Microwave Link Design and Availability Analysis.
  5. Renewable Energy Solutions for Telecommunication Infrastructure.

The increasing demand for reliable wireless connectivity in remote areas has highlighted the need for sustainable communication infrastructure. Microwave backhaul systems provide an effective solution for connecting isolated base stations due to their high capacity, flexibility, and rapid deployment capabilities. However, desert environments present significant challenges, including limited power availability, extreme temperatures, dust accumulation, and atmospheric effects that may reduce communication reliability. This paper investigates the performance of a solar-powered microwave backhaul system designed for desert regions. The proposed model integrates photovoltaic (PV) power generation, battery storage, and microwave link performance analysis under varying environmental conditions. A MATLAB-based simulation is developed to evaluate PV energy production, battery state of charge (SOC), received signal power, dust-induced attenuation, and link availability. The results indicate that properly designed solar energy systems can provide reliable power for remote microwave communication networks while maintaining acceptable link performance under harsh desert conditions. The proposed framework supports the deployment of sustainable communication infrastructure in high solar potential regions, particularly in North Africa.

Keywords : Solar Energy, Microwave Backhaul, Desert Environment, Photovoltaic System, Renewable Energy, Wireless Communication, Link Availability, MATLAB Simulation.

Paper Submission Last Date
31 - July - 2026

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