Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications

摘要

Mobile edge computing is a provisioning solution to enable Augmented Reality(AR) applications on mobile devices. AR mobile applications have inherentcollaborative properties in terms of data collection in the uplink, computingat the edge, and data delivery in the downlink. In this letter, these featuresare leveraged to propose a novel resource allocation approach over bothcommunication and computation resources. The approach, implemented viaSuccessive Convex Approximation (SCA), is seen to yield considerable gains inmobile energy consumption as compared to conventional independent offloadingacross users.