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.

翻译：本文提出一种支持切片的元宇宙网络中无线与计算资源联合管理方法，旨在解决网络内计算场景下面向切片间与切片内的资源分配挑战。我们将该问题建模为混合整数非线性规划问题，并采用标准优化技术推导出最优解。通过大量仿真实验证明，所提方法通过有效平衡多个切片间的无线与计算资源分配，能显著提升系统性能。本方法在用户需求高且计算任务多变的场景中表现尤为突出，其性能优于现有基准方案。