Abstract：The advance of 5G technology can help to accelerate the development of remote applications in medical industry. Some telemedicine technologies are gradually improved, such as teleconsultation, remote diagnosis, remote ambulance, remote surgery and so on. As one of the main scenarios of 5G applications, 5G video services are required to achieve rapid transmission of high-resolution and high-frame-rate videos, as a result to optimize diagnostic results and improve medical efficiency. Virtual reality(VR) is a significant part of 5G video services, which is able to work with medical treatment to achieve functions like VR live broadcast in hospital, VR visit and so on. However, VR requires high capability of network, and the bandwidth and delay achieved by traditional 4G network cannot meet its requirements in medical application. This paper takes examples of VR visit and proposes a network solution to 5G medical applications based on SA smart medical private networks. Through Flex-E network slicing, edge computing and cloud application of VR, the medical resources are isolated from public resources to ensure the efficiency of VR data transmission, and a slicing scheme specific for VR scenarios is developed, which provides a fast and stable network solution for data transmission of VR applications in medical industry.

Abstract：Multi-access edge computing(MEC) enables applications, services and content to be deployed locally by migrating computing storage and business service capabilities to the edge of network. MEC can solve the problem that traditional content delivery network(CDN) nodes cannot sink into mobile network. However, after the CDN node sinks to the edge of the network, the CDN needs the network and terminal to assist the service to identify the user′s location and realize the traffic offload. This paper proposes an edge CDN service scheduling scheme based on MEC. Test results show that the proposed scheme can greatly reduce the first packet delay and increase the download rate, and significantly improve the user′s business experience.

Abstract：With the advent of 5G, the new application form of edge computing and Internet of Things has become the focus of attention of the whole industry. The video security industry has become a key area of application because its core business trends and needs match the technical capabilities such as 5G, edge computing, Internet of Things, cloud computing, big data, and artificial intelligence deeply. This paper mainly introduces a cloud-side collaborative PaaS and corresponding technology prototype system based on 5G MEC infrastructure, as well as the application practice of the cloud-side collaborative PaaS in the field of intelligent security.

Abstract：Multi-access edge computing(MEC) as one of key technologies of 5G，has attracted wide attention from related researchers. Based on edge networks and edge computing resources, MEC provides a combination of connectivity, computing, capabilities and applications, provides services to users nearby, and supports the introduction and exposure of cooperation between network capabilities and business capabilities. In the 5G mobile communication network, it has become a hot issue that how to exposure the edge capabilities safely and efficiently. Given that, this paper firstly introduces the MEC system architecture, network capabilities and business capabilities, and then studies the capability exposure architecture and procedure. Finally, we give the security strategy and introduce a specific example.