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.
@article{arxiv.2411.04561,
title = {Joint wireless and computing resource management with optimal slice selection in in-network-edge metaverse system},
author = {Sulaiman Muhammad Rashid and Ibrahim Aliyu and Abubakar Isah and Jihoon Lee and Sangwon Oh and Minsoo Hahn and Jinsul Kim},
journal= {arXiv preprint arXiv:2411.04561},
year = {2025}
}