Measurement Based Call Quality Reporting

R. Serral-Gracià, L. Jakab, J. Domingo-Pascual
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引用次数: 3

Abstract

Real-time traffic is an important issue when designing networks. The growth in the deployment of voice applications in packet switched networks requires that the network can guarantee a minimum level of quality. At the same time, customers want guaranties that the proper quality of service is provided for their contracted services. In this environment service providers need means of reporting the quality level of their networks. Standardisation bodies define general metrics, such as delay, jitter or losses without giving detailed information regarding the actual user's perception of the traffic. Other approaches such as the mean opinion score (MOS), are too coarse to be significant on best-effort based environments such as the Internet. This work is motivated by the potential change in the quality of service (QoS) parameters found in packet switched networks. Which highlights the inaccuracy of metrics such as MOS, since they were designed for the stable circuit switched networks. This paper proposes a novel approach to on-line voice quality measurement which is more suitable for packet switched networks than the classical alternatives, while keeping the subjective approach of MOS. Moreover, our solution permits the real-time reporting of the voice communication's quality. Along with the specification of this metric, the paper provides an experimental validation of the proposal using a real testbed with real applications. The results show the higher accuracy in reporting using this proposal over the standard metrics currently used.
基于测量的呼叫质量报告
实时流量是网络设计中的一个重要问题。分组交换网络中语音应用部署的增长要求网络能够保证最低的质量水平。与此同时,客户希望保证为他们的合同服务提供适当的服务质量。在这种环境下,服务提供商需要报告其网络质量水平的手段。标准化机构定义一般指标,如延迟、抖动或损失,而不提供有关实际用户对流量感知的详细信息。其他方法,如平均意见评分(MOS),过于粗糙,在互联网等基于最佳努力的环境中不太重要。这项工作的动机是在分组交换网络中发现的服务质量(QoS)参数的潜在变化。这突出了MOS等指标的不准确性,因为它们是为稳定的电路交换网络设计的。本文提出了一种新的在线语音质量测量方法,该方法比传统的方法更适合于分组交换网络,同时保留了MOS的主观方法。此外,我们的解决方案允许实时报告语音通信的质量。随着该度量的规范,本文提供了一个使用实际应用的真实测试平台的建议的实验验证。结果显示,与目前使用的标准度量标准相比,使用此建议的报告具有更高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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