Ensuring the quality of the internet of medical things services in the 5G network

Abstract

The paper solves an urgent scientific and applied problem of ensuring the quality of service (QoS) of the Internet of Medical Things (IoMT) in an LTE/5G network. A traffic prioritization classification is proposed, which includes four quality classes, allowing for priority processing of critical medical traffic and optimizing the use of network resources. The considered solutions allow to provide the necessary QoS parameters for critical medical applications, such as minimum latency and high reliability of data transmission, which is critical for healthcare systems.A comprehensive analysis of the problems of quality of service (QoS) management for the Internet of Medical Things (IoMT) in 5G networks is carried out. The interaction of the 5G network with the IoMT network, as well as the features of improving QoS for medical devices and applications are considered. Critical requirements for the quality of service for medical applications are identified, including minimum latency, low jitter, high throughput, and maximum reliability. The challenges associated with servicing IoMT devices in 5G networks are analyzed, in particular, the high QoS requirements for the tactile Internet (TI). Ways to integrate IoMT devices into a 5G network, taking into account the specific requirements of medical applications, are investigated. Methods for preprocessing requests in the IoMT network before transmitting them to the 5G network are proposed to reduce the load on base stations. The traffic classification by priorities, which includes four quality classes, is considered, which allows to effectively manage network resources and provide the required level of QoS. The algorithms for dynamic resource and priority management are investigated, which allow to ensure an adequate level of service even at high network load. The use of modern technologies such as SDN and NFV for flexible management of network resources and adaptation to changing operating conditions. The study confirmed the importance of traffic classification, dynamic resource management, and priority service to ensure high quality of service for medical devices and applications in 5G networks.