Assessment of the Impact of Intra-System Interference on the Throughput of a 5G-Based Telemedicine Network

Abstract

The article is devoted to the use of 5G networks in the field of telemedicine, namely for the deployment of telemonitoring clusters with a high density of telemedicine sensors and detectors. As part of the study, the possibility of fifth-generation technology for organizing a telemonitoring system was assessed, provided that a guaranteed data transfer rate is ensured, considering the simultaneous connection of many devices and sensors. The assessment was carried out considering that any device within the cluster is a potential source of additional electromagnetic interference and affects other devices. The telemonitoring system based on fifth-generation networks was modeled for different initial conditions (distance to the base station, interference power, etc.) under the influence of intra-system interference. The distribution of intra-system interference sources and their distance to the object of study is realized as a random process based on the Monte Carlo method. The results obtained show that the actual throughput of a telemedicine network based on 5G technology largely depends on the number of sources of intra-system interference, which in turn affects the capacity of the telemonitoring cluster (number of endpoints) and the actual density of endpoints is several times less than stated by the technology developers.