Description: In the specified article, the authors carried out an analysis of existing scientific and technological decisions regarding the distribution of channel resources of military radiocommunication systems. In the course of the analysis, it was established, that the management of the queues of information flows in military radiocommunication systems is one of the possible technological solutions to increase the noise immunity of military radiocommunication systems. In the course of the research, it was determined, that the existing scientific-methodical apparatus does not satisfy the requirements put forward to it, due to the fact, that it is not able to adapt to the conditions of the dynamic signal-interference situation in the communication channel and has a high computational complexity. In the course of the study, the authors of this article used the basic provisions of the theory of communication, theory of mass service, the theory of routing and flow management, as well as the theory of graphs. In the course of the research, it was established, that modern systems of military radio communication are complex systems, the functioning of which should provide a high-quality exchange of heterogeneous information between its nodes connected through the appropriate channels. The analysis showed, that multiservice, the casual nature of the load and the dynamism of the functioning of modern systems of military radiocommunication significantly complicate the provision of efficient allocation of limited channel resources. It is expedient to use the fuzzy neural network apparatus to develop channel resource allocation methods, the main advantages of which are the ability to accurately predict the input load and packet loss, the ability to automatically adjust the parameters of active packet queue management and adequately adapt to the dynamic change in the conditions of the operation of military radio communication systems. Thus, the direction of further research should be considered the development of methods and methods for managing flows in the systems of military radio communication on the basis of the apparatus of fuzzy neural networks.
Keywords: mass service theory, queue management, routing, mass maintenance systems, signaling and interfering environment, fuzzy neural network, computational complexity