QoE-Based Flow Admission Control in Small Cell Networks
QoE-Based Flow Admission Control in Small Cell Networks
复制标题
小蜂窝网络中基于 QoE 的流量准入控制
DOI：
10.1109/twc.2015.2504450
复制
发表时间：
2016
影响因子：
10.4
通讯作者：
K. Letaief
中科院分区：
文献类型：
--
作者：
A. Ksentini;T. Taleb;K. Letaief
5G移动系统的一个重要要求是容纳大量无线设备和用户。异构网络预计将在满足这一要求方面发挥至关重要的作用。在这种情况下，小型蜂窝有望成为这些异构网络的组成部分。然而，除非它们提供的服务质量与当前宏蜂窝网络所保证的质量相似，否则它们的成功不会持续更长时间。缓解小型蜂窝网络回程链路的拥塞是一个关键因素。鉴于此，本文提出了一种准入控制，该控制可以做出将 IP 流全部或部分重定向到宏或小型蜂窝网络或拒绝传入流的决策。决策机制基于对用户体验质量 (QoE) 的预测。它被建模为马尔可夫决策过程 (MDP)，其目的是导出最大化用户 QoE 的最优策略（即拒绝或接受宏蜂窝或小蜂窝中的流）。通过计算机模拟，我们评估了所提出的准入控制的性能，并将其与随机策略决策进行比较。我们还数字化地说明了其在不同场景、不同流量负载条件下的最优策略。
An important requirement on 5G mobile systems is to accommodate massive numbers of wireless devices and users. Heterogeneous networks are expected to play a crucial role in meeting this requirement. In this vein, small cells are expected to become an integral part of these heterogeneous networks. However, their success would not last longer unless they offer services at a quality similar to that currently ensured by the macro cellular networks. Mitigating congestion of the backhaul links to small cell networks is a crucial factor. With this regard, this paper proposes an admission control that makes decisions to redirect IP flows, fully or partially, to the macro or small cell networks, or to reject the incoming flows. The decision mechanism is based on predictions of users' Quality of Experience (QoE). It is modeled as a Markov decision process (MDP), whereby the aim is to derive the optimal policy (i.e. reject or accept flows in the macro or the small cell) that maximizes users' QoE. Through computer simulations, we evaluate the performance of the proposed admission control and compare it against a random policy decision. We also numerically illustrate its optimal policies in different scenarios under different traffic load conditions.