Terrestrial Network

Terrestrial networks are undergoing significant evolution, integrating with aerial and satellite systems to create seamless global coverage and extend connectivity to remote areas. Current research heavily focuses on leveraging artificial intelligence, particularly machine learning models like federated learning and deep learning architectures, to optimize resource allocation, improve network management, and enhance security in these integrated networks. This research aims to address challenges such as limited bandwidth, interference, and the need for efficient data processing in diverse environments, ultimately improving the reliability and performance of communication systems for various applications. The resulting advancements have significant implications for 5G/6G technologies and the development of robust, intelligent global communication infrastructure.