# Educational 5G Edge Computing: Framework and Experimental Study
## 2 Related Work  
Educational 5G edge computing has become a promising way to build smart campuses [14; 15; 16; 17; 18]. The combination of 5G and edge computing has made significant progress in the relevant work of the International Standards Organization (ISO). The ETSI introduced the framework of MEC [7]. The 5G and MEC combination scheme defined by 3 GPP [19] points out that the UPF is located in the campus and close to the MEC, and the data are forwarded to the MEC edge server through the UPF's local offloading technology, UL-CL. The core network's AF function needs to be pulled down and deployed to the MEC platform. However, some technical points need to be studied in depth, such as the fact that ETSI does not introduce the position and interface of MEC in the 3 GPP architecture, and there is a lack of standards in guiding practice. Many problems, including the deployment of UPF and MEC, multi-network access, and the wide-area interconnection between MEPs, are not discussed in 3 GPP. Meanwhile, several researchers have studied several key problems for educational 5G edge computing, including task offloading, 5G-MEC integration, campus activity applications, and others. [PERSON] et al. [20] analyzed the existing problems of 4G MEC architecture, and presented a detailed solution for the MEC platform and local offload function. However, there are no experimental data to support this new architecture and algorithm effect. [PERSON] et al. [21] analyzed the use of 5G core network based on uplink classifier (UL CL) offloading, IPv6 multi-homing offloading or a local area network strategy to select a UPF (user plane function) local offloading solution for MEC. However, it is not a system solution for edge computing that can guide industry applications. [PERSON] et al. [22] sorted out two types of six local offloading schemes from the relationship between MEC and 5G network. They analyzed the session flow of each offloading scheme and its configuration requirements for terminals and networks. Six schemes were compared to analyze the application scenarios. However, the authors do not discuss the multiple network access in MEC architecture. In order to support applications such as virtual simulations and ultra-high-definition live broadcast interactions, the work in [23] found that the 5G network still needs to solve the problem of combining edge computing and network slicing. Although the paper does not discuss the system architecture related to software and hardware, this slice control algorithm is worth learning from to optimize system performance. The study in [24] found that the combination of 5G and MEC defined by the 3 rd generation partnership project (3 GPP) only realizes the basic function of enabling the deployment of MEC edge nodes nearby using the sinking of the 5G network element UPF, but further research is still needed on how to integrate 5G network slicing and MEC systems fully so that they can fully utilize their respective advantages to meet the end-to-end quality of service (Qos) and guarantee security from network transmission to computing resource allocation. The paper does not cover the topics of UPF and MEC deployment practice and verification in the education industry. [PERSON] et al. [25] proposed a network architecture focusing on deploying an edge cloud in the medical industry. It composes a powerful cloud resource based on the application requirements of the medical industry. This architecture is instructive for the implementation of a campus-based edge cloud, while the powerful performance results in the high cost of the architecture. However, it is too expensive for customers in the campuses. In the design of the separated architecture, too much emphasis on network security leads to the weakening of flexible deployment capabilities. In addition, some of the architecture's pain points lack targeted consideration, such as education equipment management and a unified portal. These issues make the architecture detrimental to the education industry.