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Use of the burst voice arrival lag (BVAL) as a measure of performance that detects packet burst errors (PBER) for voice over IP systems

机译:使用突发语音到达延迟(BVAL)作为检测IP语音系统的数据包突发错误(PBER)的性能度量

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A new measure of performance for voice over IP systems, the burst voice arrival lag (BVAL), strongly discriminates the occurrence of packet burst loss, as opposed to an equal number of packets lost randomly. Traditional measures of performance for voice over IP systems are based on long term statistics such as packet error rate, which does not capture the distinction of burstiness properties of a given system. This distinction is important because perceptible noise clicks are experienced in systems that exhibit burst packet losses. BVAL is a measure of performance that depends on the starvation of the playback buffer implemented in real time systems such as the real time protocol (RTP). The BVAL parameter can be used for improved path selection in a routing algorithm or feedback in a RTP session over the real time control protocol (RTCP) when used over an IP system. It can also be used to compare the quality of service provided by different systems. This paper derives a mathematical expression for BVAL. It proceeds by calculating its value, first, for a system that experiences random losses, and then for a system that experiences burst packet losses of a fixed size number of packets, N. The BVAL for these systems is compared and is shown that the greater N becomes, the larger BVAL becomes (even though the long-term packet error rate remains constant). Then, a relationship is derived and graphed to show the sensitivity of BVAL as a function of N and the packet completion rate. Then, the comparison is generalized to a system that experiences burst packet losses of different sizes.
机译:IP语音系统的一种新的性能度量标准,即突发语音到达延迟(BVAL),强烈区分了数据包突发丢失的发生,与随机丢失的相同数量的数据包相反。 IP语音系统的传统性能度量基于诸如包错误率之类的长期统计信息,该统计不能捕获给定系统的突发性特性的区别。这种区别很重要,因为在表现出突发数据包丢失的系统中会感觉到噪声的喀哒声。 BVAL是一种性能度量,它取决于实时系统(例如实时协议(RTP))中实现的回放缓冲区的不足。当在IP系统上使用时,BVAL参数可用于改进路由选择算法中的路径选择,或用于实时控制协议(RTCP)上的RTP会话中的反馈。它也可以用来比较不同系统提供的服务质量。本文推导了BVAL的数学表达式。它首先通过计算其值来进行计算,首先是对于经历随机丢失的系统,然后对于经历了固定大小的数据包数量N的突发数据包丢失的系统。对这些系统的BVAL进行比较,结果表明, N变大,BVAL变大(即使长期分组错误率保持恒定)。然后,推导一个关系并将其绘制成图表,以显示BVAL的灵敏度与N的关系以及数据包的完成率。然后,将比较推广到遇到不同大小的突发数据包丢失的系统。

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