5G MEC Offloading: Two QoE-based Strategies

Abstract

5G MEC provides computing resources as services by 5G communication technologies. But, compared with conventional centralized cloud, MEC is a distributed resource with dynamic changes and conflicts between UEs (user equipment) and MEC servers. How to allocate MEC resources to meet users’ requirements and to maintain QoE is an important issue in IT and across business disciplines. Offloading is an appropriate way to distribute MEC resources to achieve high levels of utilization and effectiveness. This study proposes two mechanisms that can work under complex conditions, such as multiple UEs’ offloading requests, low latency, low energy consumption, and task consistency.

Keywords: Mobile edge computing (MEC), offloading, 5G MEC, MEC deployment scheme, resource allocation, Quality of Experience (QoE)