无线和蜂窝网络中的服务质量问题

Farnaz Farid, S. Shahrestani, Chun Ruan
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引用次数: 15

摘要

随着无线和蜂窝网络多媒体业务在消费者中的日益普及,对调查其潜在的服务质量(QoS)和体验质量(QoE)需求提出了新的要求。在这项工作中,我们对这些需求进行了基于应用程序的分析。使用这种方法,我们可以适当地考虑到底层网络的异构性质及其流量的多样性。还有其他几个理由可以证明使用这种方法是合理的。例如,可以提到发达国家和发展中国家不同的QoS期望和用户体验质量(QoE)。发展中国家的许多地区高度依赖无线和蜂窝技术,而工业化国家提供的社会经济服务通常基于传统宽带和先进的蜂窝系统。显然,底层网络技术的变化会干扰QoS和QoE。因此,我们还研究了网络QoS和QoE之间的关系,提出了它们之间的概念映射。为了实现这些目标,我们首先评估基于网络的应用程序在不同访问技术上的QoS需求。为了获得切实的结果,我们将重点放在基于UMTS的3G蜂窝网络和WiMAX上,并分析几种基于网络的应用程序,这些应用程序具有不同的路径损耗模型、不同的活跃用户数量和不同类型的流量。结果表明,不同的技术、网络拥塞、用户感知和无线电信道条件在一定程度上影响QoS和QoE参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality of service concerns in wireless and cellular networks
The increasing popularity of wireless and cellular networks multimedia traffic among the consumers has raised new demands for investigation of their underlying Quality of Service (QoS) and Quality of experience (QoE) requirements. In this work, we carry out an application-based analysis of such requirements. Using this approach, we can properly take into account the heterogeneous nature of the underlying networks and the diversity of their traffic. There are several other reasons that justify the use of this approach. For instance, different QoS expectations and user Quality of Experience (QoE) in developed and developing countries can be mentioned. Many parts of the developing world are highly dependent on wireless and cellular technologies, while the provision of socioeconomic services in industrialized countries is generally based on conventional broadband and advanced cellular systems. Clearly, the variations of the underlying networking technologies perturb the QoS and QoE. So, we also examine the relationship between network QoS and QoE to propose a conceptual mapping between them. To achieve these aims, we first evaluate QoS requirements for network-based applications over different access technologies. To reach tangible outcomes, we then focus on UMTS based 3G cellular networks and WiMAX, and analyze several network-based applications with different path loss models, varying number of active users, and diverse types of traffic. The results exhibit that variant technologies, network congestions, user perceptions, and radio channel conditions affect QoS and QoE parameters to a certain extent.
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