Mathematical models of the information interaction process in 5G-IoT ecosystem: Different functional scenarios

Abstract

This paper proposes mathematical models of the process of information interaction between a set of subjects (IoT devices) and a base station in the 5G-IoT ecosystem. The researched process, in this case, is represented by a queuing system with a flow of new incoming requests with needs for the desired volumes of system resources and a flow of service signals, the receipt of which initiates redefinition of allocated for received incoming requests volumes of system resources. A controlled parameter in the created queuing system is the acceptance or rejection of new incoming requests. The priority is to support active sessions of subject-system interaction initiated for the received incoming requests. We consider two functional scenarios, which differ asynchronously or synchronously when a service signal comes to the base station’s front-end interface. The receipt marks a partial or complete redefinition of system resources involved in supporting active sessions of subject-system interaction. Formalized in the basis of a single queuing system, mathematical models of development of these functional scenarios allow calculating the probability of rejection of a new incoming request and the percentage of occupied system resources, combined in the metrics of quality indicators, in the conditions of asynchronous or synchronous change of the spatial location relative to the base station of the end IoT devices, the received input requests from which are active in the 5G-IoT ecosystem.

Keywords

• 5G-IoT ecosystem
• Availability
• Subject-system interaction session
• Mathematical model
• Quality metrics