Attention-aware resource allocation and QoE analysis for metaverse xURLLC services

H Du, J Liu, D Niyato, J Kang, Z Xiong… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Metaverse encapsulates our expectations of the next-generation Internet, while bringing
new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency …

Green Edge AI: A Contemporary Survey

Y Mao, X Yu, K Huang, YJA Zhang, J Zhang - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

Characterizing real-time dense point cloud capture and streaming on mobile devices

J Hu, A Shaikh, A Bahremand, R LiKamWa - Proceedings of the 3rd …, 2021 - dl.acm.org
Point clouds are a dense compilation of millions of points that can advance content creation
and interaction in various emerging applications such as Augmented Reality (AR). However …

Get-A-Sense: Designing Spatial Context Awareness for Mobile AR Environment Understanding

Y Zhao, A Ganj, T Guo - arXiv preprint arXiv:2310.10821, 2023 - arxiv.org
Physical environment understanding is vital in delivering immersive and interactive mobile
augmented reality (AR) user experiences. Recently, we have witnessed a transition in the …

Semantic communications and generative artificial intelligence for user-centric metaverse services

H Du - 2024 - dr.ntu.edu.sg
Metaverse, the next frontier of the Internet, promises an immersive and intelligent world
powered by advanced networks. At its core, the success of Metaverse services relies on the …

Towards Fine-Grained Control of Visual Data in Mobile Systems

J Hu - 2022 - search.proquest.com
With the rapid development of both hardware and software, mobile devices with their
advantages in mobility, interactivity, and privacy have enabled various applications …