Abstract
In this letter, we propose a novel joint mobile cache and power management scheme for energy-efficient mobile augmented reality (MAR) services in mobile edge computing (MEC). For this purpose, depending on whether the cache is hit or not, analytical models for 1) the energy consumption of an MAR device (MD) and 2) the service latency for the MAR are derived and investigated. Considering a tradeoff between energy and service latency in terms of the cache size in MAR with MEC, we design a theoretical framework for the mobile cache management of the MD to optimize the mobile cache size as well as transmission power while guaranteeing the required service latency. From the numerical experiments, we evaluate the performance of the proposed scheme and demonstrate insights regarding the optimization of the performance of MEC-assisted MAR services with a mobile cache.
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