User-Aware Resource Allocation Algorithm for Virtual Reality in Metaverse

Even though introducing the edge computing to support metaverse services, sophisticated resource allocation algorithm is needed due to varied required computation resources and operating environments. In this paper, we introduce a user-aware resource allocation algorithm (UARA) for the metaverse and examine a resource allocation strategy for edge cloud computing. The objective of the resource allocation strategy is to maximize the aggregated quality of experiences (QoEs) for users while ensuring that each user's QoE remains above a certain threshold. Evaluation results show that the proposed resource allocation policy enhances users' QoE.

Authors

Institutions

Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10826681
Primary Topic
Innovation in Digital Healthcare Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

User-Aware Resource Allocation Algorithm for Virtual Reality in Metaverse

Haneul Ko, Jun Heon Lee, Yu-Mi Kim
Innovation in Digital Healthcare Systems
article

User-Aware Resource Allocation Algorithm for Virtual Reality in Metaverse

Haneul Ko, Jun Heon Lee, Yu-Mi Kim
article en

Abstract

Even though introducing the edge computing to support metaverse services, sophisticated resource allocation algorithm is needed due to varied required computation resources and operating environments. In this paper, we introduce a user-aware resource allocation algorithm (UARA) for the metaverse and examine a resource allocation strategy for edge cloud computing. The objective of the resource allocation strategy is to maximize the aggregated quality of experiences (QoEs) for users while ensuring that each user's QoE remains above a certain threshold. Evaluation results show that the proposed resource allocation policy enhances users' QoE.

Kyung Hee University (KR)
Openalex Percentile: Top 64%
Innovation in Digital Healthcare Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

User-Aware Resource Allocation Algorithm for Virtual Reality in Metaverse — Haneul Ko, Jun Heon Lee, et al. · (2024) | TGRS Research Map | TGRS