Multi-Tier Multi-Domain Network Slicing: A Resource Allocation Perspective

S. Oladejo, S. Ekwe, L. Akinyemi
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引用次数: 1

Abstract

This paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain based network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from multi-player multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising infrastructure providers (InPs), mobile virtual network operators (MVNO), service providers (SP) and slice users is investigated. We propose a multi-tier multi-domain slice user matching game and a distributed backtracking multi-player multi-domain game schemes in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a genetic algorithm (GA) intelligent latency- aware resource allocation scheme (GI-LARE) and, a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme outperforms these other schemes.
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多层多域网络切片:一个资源分配的视角
本文研究了具有不同网络参与者的多片、多层、多域网络中的动态资源分配问题。从多参与者多领域的角度出发,将动态资源分配问题表述为效用最大化问题。此外,还研究了包括基础设施提供商(InPs)、移动虚拟网络运营商(MVNO)、服务提供商(SP)和切片用户在内的三级分层商业模型。针对转换后的最大效用优化问题,提出了一种多层多域切片用户匹配博弈和一种分布式回溯式多玩家多域博弈方案。通过蒙特卡罗仿真,将多层多租户多域博弈方案与遗传算法(GA)智能延迟感知资源分配方案(GI-LARE)和静态切片资源分配方案进行了比较。我们的研究结果表明,所提出的方案优于这些其他方案。
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