Optical Communication in Free Space (FSO) offers broader radio bandwidth and lower startup costs, but it’s susceptible to atmospheric conditions. This study deploys PCA and ANN to create QoS prediction models for FSO networks in South Africa. The models display impressive forecast accuracy, providing a valuable tool for enhancing telecom businesses and network services. [

Explore the full study:](http://arxiv.org/abs/2403.15461v1)

Key Takeaways:

• Addresses the vulnerability of FSO links to atmospheric variations.
• Utilizes PCA and ANN for effective QoS prediction.
• Enhances telecom service provision and QoS maintenance.

Opinion: This work has great importance, offering a predictive model that tackles the uncertainties of FSO communications. It’s a step towards more reliable and efficient telecommunication services.

Further Research:

• Application across various geographical locations
• Integration with adaptive FSO systems
• Real-time monitoring and adjustment of FSO links