COMPREHENSIVE METHODOLOGY FOR DIAGNOSING OF A 5G MOBILE NETWORKNODES

Abstract

Trends of the modern telecommunication networksdevelopment are considered. It is shown that the development and
active implementation of the 5G standard is associated with the scaling of infrastructure and the development of the
functionality of networks of data centers. Due to the need to process large amounts of data in real time, the requirements for
computing resources, the bandwidth of the data transmission channel and the capacity of the information storage of the
general information system of the network resource increase significantly. The organization of telecommunication networks
in accordance with the 5G standard makes it possible to significantly expand the tools for identifying the cause of potentially
dangerous channel congestion between pairs of switch ports. It is indicated that the data flow monitoring system for
diagnosing congestion of the 5G telecommunications network should analyze the state of the switch ports at the physical level
and in real time with high accuracy of assessment and forecasting in accordance with the restrictions on the maximum load
on the computing resource of the general complex and the requirements on reorganization and scalability of the system. An
algorithm based on the limited update technique has been developed, which allows to increase the accuracy of the analysis at
a stable level of load on the computing resource.