TY - GEN
T1 - Joint Association and Computing Resource Optimization for Distributed Wireless Metaverse
AU - Khan, Latif U.
AU - Guizani, Mohsen
AU - Ouni, Bassem
AU - Serhani, Mohamed Adel
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Internet of Things
KW - convex optimization
KW - metaverse
UR - https://www.scopus.com/pages/publications/85185404894
UR - https://www.scopus.com/inward/citedby.url?scp=85185404894&partnerID=8YFLogxK
U2 - 10.1109/CiSt56084.2023.10409948
DO - 10.1109/CiSt56084.2023.10409948
M3 - Conference contribution
AN - SCOPUS:85185404894
T3 - Colloquium in Information Science and Technology, CIST
SP - 531
EP - 535
BT - CiSt 2023 - 7th IEEE International Congress on Information Science and Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Congress on Information Science and Technology, CiSt 2023
Y2 - 16 December 2023 through 22 December 2023
ER -