[2202.01600] Context-Based MEC Platform for Augmented-Reality Services in 5G Networks
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
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