Problem Analysis of Multi-access Edge computing (MEC) in 5G

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Jatinder Kaur

Abstract

The The popularity of rich cloud services and the spread of the Internet of Things (IoT) have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. Mobile edge computing (MEC), a key technology in the emerging fifth generation (5G) network, can optimise mobile resources by hosting compute-intensive applications, processing large data before sending it to the cloud, providing cloud computing capabilities within the radio access network (RAN) in close proximity to mobile users, and providing context-aware services using RAN information.


MEC (multi-access edge computing) is a new ecosystem aimed at bringing together telecommunications and information technology services by providing a cloud computing platform at the edge of radio access network. MEC provides storage and processing resources at the edge, reducing latency for mobile end users and allowing mobile backhaul and core networks to be used more efficiently. This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies. This paper will review Multi-access edge computing in context to 5G. In addition, this paper analyzes the MEC reference architecture along with its pros and cons.

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