Abstract
Metaverse has generated significant interest for enabling wireless
systems due to its self-sustainability and proactive analytic
capabilities. It enables the deployment of meta spaces featuring avatars
and digital twins for various real-world applications. However, it has
become challenging to efficiently deploy meta spaces on edge/cloud
environments while managing communication and computing resources
effectively. In this paper, we propose a novel network virtualization
framework within a shared system to make the deployment of meta spaces
for various metaverse applications cost-efficient. The framework
abstracts, isolates, and facilitates the sharing of wireless and
computing resources, thereby enhancing flexibility and efficiency for
metaverse-driven applications. It involves three key players: network
operators (selling resources), metaverse operators (managing
transactions), and end-users (purchasing resources). An optimization
problem is formulated to optimize the wireless resource allocation,
computing resource allocation, association of end-devices with meta
spaces deployed at the network operators’ base stations, communication
resource cost, and computing resource cost. We address the formulated
NP-Hard mixed integer non-linear programming (MINLP) problem using
decomposition, convex optimization, and hierarchical matching. Numerical
results confirm the validity of the proposed approach.