Technological aspects of implementing software-configurable 5G and 6G networks

Abstract

The results of the study of technological aspects of software-defined networking (SDN) implementation in the context of 5G and 6G are aimed at optimizing approaches, methods and technologies to ensure maximum efficient use of network resources, increase flexibility, security and quality of service. Optimal topologies maximize coverage, minimize latency, and improve connection reliability. The introduction of SDN and NFV allows for dynamic management of network resources, ensuring its flexibility and scalability. Automated management systems that use machine learning algorithms optimize resource utilization. QoS management technologies and network slices allow you to provide a high level of quality of service for different types of traffic and applications. This is especially important for mission-critical applications that require low latency and high bandwidth. 5G and 6G networks support a wide range of new applications and services through the use of flexible and scalable infrastructure integrated with artificial intelligence and machine learning technologies. The study of the technological aspects of implementing software-defined networks in 5G and 6G has allowed us to identify the best approaches and methods to ensure the efficiency, flexibility, security and high quality of service of current and future telecommunications networks. The 5G and 6G networks support a wide range of new applications and services through the use of flexible and scalable infrastructure integrated with artificial intelligence and machine learning technologies. The tasks per-formed and the results achieved contribute to the development of innovative technologies and ensure that the network infrastruc-ture meets the growing requirements of the market and users. The study has shown that efficient allocation of network resources within the optimized topology of 5G and 6G networks is possible through the introduction of software-defined networks (SDN), network function virtualization (NFV), and the development of dynamic resource management algorithms. This ensures high performance, flexibility and reliability of the network, meeting the growing demands of users and supporting innovative services and applications