COMPARATIVE ANALYSIS OF MATHEMATICAL MODELS OF M2M TRAFFIC

The number of machine-to-machine (M2M) connections in the mobile network is increasing rapidly. The growing M2M traffic has a significant impact on the quality of user service in mobile networks and on the processes of their operation. In addition, in extreme cases (natural disasters, fires), simultaneous operation of active M2M devices leads to a surge of traffic in the network. To determine the effective characteristics of the network, assess the quality of service (QoS) parameters in the mobile network, and assess the use of network resources, you must apply mathematical modeling. An important role is played by the development of a mathematical model of M2M traffic. The paper presents a comparative analysis of the developed traffic models. Two approaches to modeling M2M traffic are considered: the development of a model of aggregated traffic from all M2M devices and the development of a traffic model of M2M devices taking into account its type, characteristics and functions. Traffic models developed for specific mobile networks (LTE, 5G) are considered. When modeling M2M traffic, methods of Queuing theory are used. In the considered works, the flow of applications to the Queuing system (QS) is considered as MMPP (Markov Modulated Poisson Process), a Poisson flow in which applications form “clusters”. For a visual interpretation of the features of the behavior of traffic in packet networks in some works, the modeling of traffic type ON/OFF, which is used in the description of the pulsating traffic structure, is chosen. The advantages and disadvantages of each of the considered methods of modeling M2M traffic are revealed.

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