Intelligent Management of Combined Traffic in Promising Mobile Communication Networks
E. O. Melikhov, E. P. Stroganova
Abstract
The article discusses the challenges of efficient traffic management in today's mobile networks. It proposes solutions based on intelligent techniques for implementing a hybrid approach to traffic distribution, which combines broadband traffic with traditional unicast traffic. With the growing use of mobile devices and the emergence of new applications, there is an increasing demand for bandwidth and improved quality of service in these networks. Traditional traffic management approaches are no longer sufficient to ensure optimal performance. The paper suggests the use of innovative methods, such as adaptive thresholding, to enhance traffic management in mobile networks. Through simulations and real-world experiments, the study demonstrates that intelligent traffic management techniques can significantly enhance network performance and efficiency. The proposed methods have the potential to optimize resource allocation, improve user experience, and reduce network latency. They also contribute to more efficient use of available bandwidth and increased energy efficiency in the network.