Deep Learning-Based Frequency Hopping System: Applications and Improvements Over Turkey

This study focuses on the development of a deep learning-based frequency hopping system aimed at minimizing interference and optimizing spectrum usage in wireless communication systems. Applied across different regions of Turkey, this GPS-supported system utilizes deep learning algorithms to analyze regional radio frequency traffic and select the most appropriate frequency. The system dynamically performs frequency selection based on both geographic location and time, minimizing interference and significantly improving communication quality. This innovative approach is designed to provide reliable, seamless, and secure communication, particularly in military and civilian applications. The study focuses on applications in Turkey, improvements in frequency management, and spectrum efficiency. This system offers a crucial solution for enhancing communication in areas with high radio traffic in the future