Joint Association and Computing Resource Optimization for Distributed Wireless Metaverse

Latif U. Khan, Mohsen Guizani, Bassem Ouni, Mohamed Adel Serhani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Metaverse enables wireless systems with many features, such as self-sustainability and proactive online learning. However, deploying metaverse for wireless systems will face many challenges. These challenges are the deployment of meta spaces over the network edge, association of end-devices with meta spaces, and computing resource optimization. Therefore, in this work, we consider the joint association of end-devices with meta spaces and computing resources optimization for running meta spaces over the network edge devices. The formulated optimization problem is a mixed integer non-linear programming problem. We separate the problem into two sub-problems: the computing resource optimization problem and the association sub-problem. For the computing resource optimization problem, we use a convex optimizer. Due to the non-convex nature of the association problem, we propose a heuristic algorithm with low complexity. Finally, numerical results are presented.

Original languageEnglish
Title of host publicationCiSt 2023 - 7th IEEE International Congress on Information Science and Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages531-535
Number of pages5
ISBN (Electronic)9781665461337
DOIs
Publication statusPublished - 2023
Event7th IEEE International Congress on Information Science and Technology, CiSt 2023 - Agadir - Essaouira, Morocco
Duration: Dec 16 2023Dec 22 2023

Publication series

NameColloquium in Information Science and Technology, CIST
ISSN (Print)2327-185X
ISSN (Electronic)2327-1884

Conference

Conference7th IEEE International Congress on Information Science and Technology, CiSt 2023
Country/TerritoryMorocco
CityAgadir - Essaouira
Period12/16/2312/22/23

Keywords

  • Internet of Things
  • convex optimization
  • metaverse

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Information Systems and Management
  • Management Science and Operations Research

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