Author(s)

Shuguang Xie

Corresponding Author

Shuguang Xie

Abstract

With the development of telemedicine, the application effect of real-time vital signs monitoring system based on 5G MEC is affected by the delay. This paper focuses on this, constructs a theoretical model of delay optimization and puts forward corresponding strategies. Firstly, the technical basis of 5G, MEC and monitoring system is expounded, and the links and factors causing delay are analyzed. Then, the model is constructed from the aspects of network transmission and edge computing processing to quantify the system delay. Based on the model, network resource allocation optimization, such as dynamic bandwidth allocation and link selection optimization, is proposed. MEC calculates resource scheduling, such as task priority scheduling and resource collaborative allocation; And data processing and transmission process optimization, including data preprocessing and asynchronous transmission processing. Through these measures, it is expected to reduce the system delay, improve the performance of the real-time vital signs monitoring system of telemedicine, and provide more reliable support for telemedicine.

Keywords

5G MEC; Telemedicine; Real-Time Vital Signs Monitoring System; Delay Optimization