Abstract
Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities and high-capacity storage space to efficiently deliver these mobile services to mobile users. Nevertheless, existing cloud computing delegates computing to a cloud server located at a relatively long distance, resulting in significant delays due to additional time to return processing results from a cloud server. These unnecessary delays are inconvenient for mobile users because they are not suitable for applications that require a real-time service environment. To cope with these problems, a new computing concept called Multi-Access Edge Computing (MEC) has emerged. Instead of sending all requests to the central cloud to handle mobile users’ requests, the MEC brings computing power and storage resources to the edge of the mobile network. It enables the mobile user device to run the real-time applications that are sensitive to latency to meet the strict requirements. However, there is a lack of research on the efficient utilization of computing resources and mobility support when mobile users move in the MEC environment. In this paper, we propose the MEC-based mobility management scheme that arranges MEC server (MECS) as the concept of Zone so that mobile users can continue to receive content and use server resources efficiently even when they move. The results show that the proposed scheme reduce the average service delay compared to the existing MEC scheme. In addition, the proposed scheme outperforms the existing MEC scheme because mobile users can continuously receive services, even when they move frequently.
Highlights
With the advent of various mobile and Internet of Things (IoT) devices, new types of services and mobile applications are emerging that utilize Machine Learning (ML) and Augmented Reality (AR)technology, which require high computing power and low latency due to recent advances in mobile network technology [1,2,3,4,5]
This paper proposes the Multi-Access Edge Computing (MEC)-based mobility management scheme that enables the mobility of mobile users efficiently by managing MEC server (MECS) as the concept of Zones
This paper makes the following points. It shows that the MEC brings computing capacity to the edge of the mobile network, which enables the mobile user to run applications that require ultra-low delay service to meet strict requirements
Summary
With the advent of various mobile and Internet of Things (IoT) devices, new types of services and mobile applications are emerging that utilize Machine Learning (ML) and Augmented Reality (AR). Due to constraints such as processing power and battery lifetime of mobile devices, mobile users cannot efficiently receive services that require high computing power and low-latency. MEC is considered as a paradigm close to mobile user devices in 5G network and provides powerful both computing capability and delay-sensitive services to mobile users quickly and effectively. Many kinds of research for MEC are actively conducted, there are few studies on schemes related to mobility management for mobile users To solve these problems, this paper proposes the MEC-based mobility management scheme that enables the mobility of mobile users efficiently by managing MECS as the concept of Zones. Through the exchange of information between orchestras managing access MECS in the concept of Zone, it is possible to support continuous content delivery and efficient use of server resources even when the mobile users move.
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