Advanced Applications of 5G, UAV, and Predictive Maintenance in Smart Grids, Autonomous Vehicles, and Network Function Virtualization
Rustam Mukhitdinov
Department of Computer Science, Tashkent Institute of Information Technology, Ko'chasi Amir Temur 37, Tashkent, 100100, Uzbekistan.
Gulnaz Alimova
Department of Computer Science, Khorog State University, Ulitsa Borbad 22, Khorog, 736000, Tajikistan.
Abstract
This paper explores various advancements in smart grid infrastructure, autonomous vehicle navigation, and network function virtualization (NFV) driven by the integration of 5G communication, UAV systems, and predictive maintenance models. The increasing demand for reliable, efficient, and secure systems has led to significant research in these areas. 5G communication technology has transformed smart grid operations, enhanced vehicular communication, and improved medical applications. UAVs are utilized in urban traffic management and road condition monitoring, while predictive maintenance strategies aim to reduce operational costs and improve reliability. NFV provides flexibility and scalability in network operations, addressing the specific needs of developing regions. The paper draws on several recent studies to present a comprehensive view of these technologies, highlighting key challenges, proposed solutions, and potential for future developments. Each section integrates the latest research and technology trends, emphasizing their applications and impact on the fields of smart grids, autonomous vehicles, and healthcare systems. By consolidating findings from diverse research areas, this paper aims to provide insights into the evolving technological landscape and its implications for future innovations.
