Joint Association and Computing Resource Optimization for Distributed Wireless Metaverse
Document Type
Conference Proceeding
Publication Title
Colloquium in Information Science and Technology, CIST
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.
First Page
531
Last Page
535
DOI
10.1109/CiSt56084.2023.10409948
Publication Date
1-1-2023
Keywords
convex optimization, Internet of Things, metaverse
Recommended Citation
L. Khan et al., "Joint Association and Computing Resource Optimization for Distributed Wireless Metaverse," Colloquium in Information Science and Technology, CIST, pp. 531 - 535, Jan 2023.
The definitive version is available at https://doi.org/10.1109/CiSt56084.2023.10409948