Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things

Abstract

To satisfy the increasing demand of mobile data traffic and meet the stringent requirements of the emerging Internet of Things (IoT) applications such as smart city, healthcare, augmented/virtual reality (AR/VR), the fifth generation (5G) enabling technologies are proposed and utilized in networks. As an emerging key technology of 5G and a key enabler of IoT, Multi-access edge computing (MEC), which integrates telecommunication and IT services, offers cloud computing capabilities at the edge of the radio access network (RAN). By providing computational and storage resources at the edge, MEC can reduce latency for end users. Hence, this paper investigates MEC for 5G and IoT comprehensively. It analyzes the main features of MEC in the context of 5G and IoT, and presents several fundamental key technologies which enable MEC to be applied in 5G and IoT, such as cloud computing, SDN/NFV, information centric networks, virtual machine (VM) and containers, smart devices, network slicing, and computation offloading. In addition, this paper provides an overview of the role of MEC in 5G and IoT, bringing light into the different MEC enabled 5G and IoT applications as well as the promising future directions of integration MEC with 5G and IoT. Moreover, this paper further elaborates research challenges and open issues of MEC for 5G and IoT. Last but not least, we propose a use case that utilizes MEC to achieve edge intelligence in IoT scenarios.