Search for a command to run...
Topicality. The rapid development of mobile radio networks of the 5G and 6G standards is accompanied by an increase in the volume of heterogeneous traffic, increased requirements for latency, reliability and adaptability of the network infrastructure. Under conditions of dynamic topology, radio channel instability and limited spectral resources, traditional data flow management mechanisms, developed mainly for wired IP networks, demonstrate limited efficiency. This makes it relevant to study intelligent approaches to data flow management at the network level of the Open Systems Interconnection (OSI) model, which provides logical addressing, routing and inter-node interaction. The subject of the study is methods for managing data flows in mobile radio networks at the network level, as well as mechanisms for adapting them to the dynamic conditions of the radio environment. The purpose of the article is to analyze existing methods for managing data flows to determine the possibility of their application in mobile radio networks, to substantiate the need for intellectualization of the management process and the formation of an intelligent approach to managing data flows at the network level of the OSI model. Results obtained. The analysis of classical approaches to data flow management was carried out, their functions and limitations in the conditions of mobile radio networks were determined. It was substantiated that the use of intelligent algorithms allows to increase the efficiency of radio resource use, reduce transmission delays and ensure the stability of network operation in conditions of variable bandwidth. A generalized model of an intelligent data flow management system at the network level is proposed, which takes into account network state parameters and traffic characteristics in real time. The feasibility of integrating intelligent mechanisms into the processes of routing and data flow management in mobile radio networks is determined, the advantages and disadvantages of routing methods when used in mobile radio networks are outlined. Conclusion. Intellectualization of data flow management at the network level of the OSI model is a necessary condition for ensuring the effective operation of new generation mobile radio networks and increasing their adaptability, scalability and resistance to dynamic changes in the data transmission environment.