Network slicing has recently been proposed as one of the main enablers for 5G networks. The slicing concept consists of the partition of a physical network into several self-contained logical networks (slices) that can be tailored to offer different functional or performance requirements. In the context of 5G networks, we argue that existing ubiquitous WiFi technology can be exploited to cope with new requirements. Therefore, in this paper, we propose a novel mechanism to implement network slicing in WiFi Access Points. We formulate the resource allocation problem to the different slices as a stochastic optimization problem, where each slice can have bit rate, delay, and capacity requirements. We devise a solution to the problem above using the Lyapunov drift optimization theory, and we develop a novel queuing and scheduling algorithm. We have used MATLAB and Simulink to build a prototype of the proposed solution, whose performance has been evaluated in a typical slicing scenario.

中文翻译：

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在 WiFi 网络中保证服务质量的切片

网络切片最近被提议作为 5G 网络的主要推动因素之一。切片概念包括将物理网络划分为多个独立的逻辑网络（切片），这些逻辑网络可以进行定制以提供不同的功能或性能要求。在 5G 网络的背景下，我们认为可以利用现有的无处不在的 WiFi 技术来应对新的需求。因此，在本文中，我们提出了一种在 WiFi 接入点中实现网络切片的新机制。我们将不同切片的资源分配问题表述为一个随机优化问题，其中每个切片可以具有比特率、延迟和容量要求。我们使用李雅普诺夫漂移优化理论设计了上述问题的解决方案，并开发了一种新颖的排队和调度算法。