Mobile Edge Computing-Based Real-Time English Translation With 5G-Driven Network Support

Abstract

Real-time English Translation (RET) requires high network bandwidth and low network delay to provide better quality of experience, and even needs the support of massive connection to provide more services. For the three metrics, the traditional strategies are difficult to realize RET well. With the fast development of Mobile Edge Computing (MEC) and 5G network, the guarantee of three metrics has become very possible. Therefore, this paper studies MEC-based RET with 5G-driven network support, called 5GMR. On one hand, 5G-driven network has the natural properties to support high bandwidth, low delay and massive connection. On the other hand, MEC is used to offload the complex tasks related to the computation of English sentences into the edge server for the efficient computation, which not only saves energy consumption of mobile device but also decreases the whole network delay. In terms of the task scheduling in MEC, Genetic Algorithm (GA) is adopted to address it. The experimental results demonstrate that the proposed 5GMR is feasible and efficient.