Joint wireless and computing resource management with optimal slice selection in in-network-edge metaverse system

TL;DR

This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice resource allocation in the presence of in-network computing, and derives an optimal solution using standard optimization techniques.

Abstract

This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice resource allocation in the presence of in-network computing. We formulate the problem as a mixed-integer nonlinear programming (MINLP) problem and derive an optimal solution using standard optimization techniques. Through extensive simulations, we demonstrate that our proposed method significantly improves system performance by effectively balancing the allocation of radio and computing resources across multiple slices. Our approach outperforms existing benchmarks, particularly in scenarios with high user demand and varying computational tasks.

Figures (3)

• Figure 1: Slice-enabled Reference Scenario
• Figure 2: Performance gain vs Number of slices
• Figure 3: Number of offloaders per slice vs number of WD's