The high computational complexity and energy consumption of artificial intelligence (AI)
algorithms hinder their application in augmented reality (AR) systems. However, mobile …

It is an essential goal for future wireless networks to provide better artificial intelligent
services. In this paper, we investigate the joint communication and computation resource …

Mobile edge computing (MEC) is one of the promising solutions to enable augment reality
(AR) by processing computational-intensive tasks within short latency constraint. However …

The Metaverse has received much attention recently. Metaverse applications via mobile
augmented reality (MAR) require rapid and accurate object detection to mix digital data with …

In this paper, we investigate the latency minimization resource allocation for a multi-user
augmented reality (AR) system based on mobile edge computing (MEC). First, we develop a …

Abstract Convergence of Augmented Reality (AR) and Next Generation Internet-of-Things
(NG-IoT) can create new opportunities in many emerging areas, where the real-time data …

In this study, we focus on improving the energy efficiency of multiple mobile augmented
reality (MAR) devices (MDs) with different MAR applications, which are connected to a …

The augmented reality (AR) applications have been widely used in the field of Internet of
Things (IoT) because of good immersion experience for users, but their ultralow delay …

This letter proposes a novel resolution and power control scheme for energy-efficient mobile
augmented reality (MAR) services through computation offloading to mobile edge computing …

The advancement in deep learning and edge computing has enabled intelligent mobile
augmented reality (MAR) on resource limited mobile devices. However, today very few deep …