QoE-driven bandwidth allocation method based on user characteristics

H. Pham-Thi, Hiep Hoang-Van, T. Miyoshi, T. Yamazaki
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引用次数: 7

Abstract

Network providers are nowadays facing with a big question in allocating network resources due to the constantly increasing of Internet services. While the network resource is not unlimited, users always desire the best quality of experience (QoE) with the huge information exchange. Therefore, finding a justice of network resource allocation based on the user experience is mandatory. In previous studies, network resources were allocated to all users by using a specific utility function without considering the user characteristics. In fact, the network resource consumptions are very different among individual users and directly depend on users' behavior. For instance, the network demands of relax users are usually lower than those of busy users. Thus, allocating the same amount of resources to all users might not meet their expectations. In this paper, we propose two bandwidth allocation methods by classifying users into different groups based on their characteristics such as relax, short-time busy, and long-time busy users. To allocate the bandwidth in each group, specific utility functions are applied. By using these methods, the obtained results show that users get the different allocated bandwidth while they still experience the same level of QoE. On the other hand, the allocation considers users' behavior to allocate suitable bandwidth based on the real resource consumption of users. As a result from these analyses, our proposal tends toward a fair allocation as well as an efficient management of the network resources.
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基于用户特征的qos驱动带宽分配方法
随着互联网业务的不断增加,网络服务提供商面临着网络资源分配的大问题。虽然网络资源不是无限的,但用户总是希望通过巨大的信息交换获得最佳的体验质量。因此,基于用户体验找到一个公平的网络资源分配是必要的。在以往的研究中,不考虑用户特征,通过特定的效用函数将网络资源分配给所有用户。事实上,个体用户的网络资源消耗差异很大,直接取决于用户的行为。例如,放松用户的网络需求通常低于忙碌用户。因此,为所有用户分配相同数量的资源可能无法满足他们的期望。在本文中,我们提出了两种带宽分配方法,即根据用户的空闲、短时忙和长时忙特征将用户划分为不同的组。为了在每个组中分配带宽,应用了特定的实用函数。通过使用这些方法,得到的结果表明,用户在获得相同的QoE水平的同时,获得了不同的分配带宽。另一方面,分配考虑用户的行为,根据用户的实际资源消耗情况分配合适的带宽。通过这些分析,我们的建议趋向于公平分配和有效管理网络资源。
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