Context-Based MEC Platform for Augmented-Reality Services in 5G Networks

TL;DR

This paper proposes a context-based MEC platform for AR in 5G networks, offloading computation from AR devices to MEC servers to enhance performance and user experience, validated through a prototype and numerical evaluation.

Contribution

It introduces a novel context-based MEC platform tailored for AR services in 5G, including a hardware prototype and practical use cases demonstrating feasibility.

Findings

Prototype implementation confirms system feasibility

Numerical evaluation validates performance and design expectations

Use cases show improved AR service quality

Abstract

Augmented reality (AR) has drawn great attention in recent years. However, current AR devices have drawbacks, e.g., weak computation ability and large power consumption. To solve the problem, mobile edge computing (MEC) can be introduced as a key technology to offload data and computation from AR devices to MEC servers via 5th Generation Mobile Communication Technology (5G) networks. To this end, a context-based MEC platform for AR services in 5G networks is proposed in this paper. On the platform, MEC is employed as a data processing center while AR devices are simplified as universal input/output devices, which overcomes their limitations and achieves better user experience. Moreover, the proof-of-concept (PoC) hardware prototype of the platform, and two typical use cases providing AR services of navigation and face recognition respectively are implemented to demonstrate the feasibility and effectiveness of the platform. Finally, the performance of the platform is also numerically evaluated, and the results validate the system design and agree well with the design expectations.