Abstract:This paper presents a numerical analysis of latency and jitter for IEEE 802.11e wireless local area networks (WLANs) in a saturation condition, by using a Markov model. We use this model to explicate how the enhanced distributed coordination function (EDCF) differentiates classes of service and to characterize the probability distribution of the medium access control (MAC) layer packet latency and jitter, on which the quality of the voice over Internet protocol (VoIP) calls is dependent. From the proposed anal… Show more
“…Interactive applications such as gaming and video conferencing obviously cannot function well with this much latency, and TCP throughput is severely affected by loss rates as high as in the 50-station case, as shown by Padhye et al [14]. Our results are consistent with those of Youm and Kim [21]. Note that the results show the latency of a head-of-line packet, and so queuing delays and potential packet loss due to full buffers will come in addition to the delays shown here.…”
Section: Analyzing Latency Under Saturation Loadsupporting
confidence: 90%
“…Youm and Kim [21] derive latency distributions from the model of Bianchi [2]. Their analysis begins by assuming the system is in the steady-state and assigning the appropriate latency values to each of the transitions.…”
In September 2020, the Broadband Forum published a new industry standard for measuring network quality. The standard centers on the notion of quality attenuation. Quality attenuation is a measure of the distribution of latency and packet loss between two points connected by a network path. A vital feature of the quality attenuation idea is that we can express detailed application requirements and network performance measurements in the same mathematical framework. Performance requirements and measurements are both modeled as latency distributions. To the best of our knowledge, existing models of the 802.11 WiFi protocol do not permit the calculation of complete latency distributions without assuming steady-state operation. We present a novel model of the WiFi protocol. Instead of computing throughput numbers from a steady-state analysis of a Markov chain, we explicitly model latency and packet loss. Explicitly modeling latency and loss allows for both transient and steady-state analysis of latency distributions, and we can derive throughput numbers from the latency results. Our model is, therefore, more general than the standard Markov chain methods. We reproduce several known results with this method. Using transient analysis, we derive bounds on WiFi throughput under the requirement that latency and packet loss must be bounded.
“…Interactive applications such as gaming and video conferencing obviously cannot function well with this much latency, and TCP throughput is severely affected by loss rates as high as in the 50-station case, as shown by Padhye et al [14]. Our results are consistent with those of Youm and Kim [21]. Note that the results show the latency of a head-of-line packet, and so queuing delays and potential packet loss due to full buffers will come in addition to the delays shown here.…”
Section: Analyzing Latency Under Saturation Loadsupporting
confidence: 90%
“…Youm and Kim [21] derive latency distributions from the model of Bianchi [2]. Their analysis begins by assuming the system is in the steady-state and assigning the appropriate latency values to each of the transitions.…”
In September 2020, the Broadband Forum published a new industry standard for measuring network quality. The standard centers on the notion of quality attenuation. Quality attenuation is a measure of the distribution of latency and packet loss between two points connected by a network path. A vital feature of the quality attenuation idea is that we can express detailed application requirements and network performance measurements in the same mathematical framework. Performance requirements and measurements are both modeled as latency distributions. To the best of our knowledge, existing models of the 802.11 WiFi protocol do not permit the calculation of complete latency distributions without assuming steady-state operation. We present a novel model of the WiFi protocol. Instead of computing throughput numbers from a steady-state analysis of a Markov chain, we explicitly model latency and packet loss. Explicitly modeling latency and loss allows for both transient and steady-state analysis of latency distributions, and we can derive throughput numbers from the latency results. Our model is, therefore, more general than the standard Markov chain methods. We reproduce several known results with this method. Using transient analysis, we derive bounds on WiFi throughput under the requirement that latency and packet loss must be bounded.
“…• Latência: para efeito de simplificac ¸ão, a latência será considerada o tempo necessário para um pacote acessar o enlace de comunicac ¸ão e ser completamente recebido no seu destino [Youm and Kim 2013].…”
Section: Métricas De Desempenhounclassified
“…Deve ser aferido de forma contínua. Ele é obtido a partir do desvio padrão da latência [Youm and Kim 2013]. Mais detalhes do cálculo do Jitter podem ser encontrados na RFC 3550.…”
“…d) Jitter is the interarrival time between successful packet transmissions of station and is obtained from the standard deviation of the latency or delay [36]. e) Packet loss occurs when one or more transmited packets failed to its the destination and can be measured as percent value using (3) [37].…”
This study aims to investigate the effect of Bluetooth on WLAN 802.11 performance. In contrast to other studies, we distinguish bluetooth into two mechanisms, namely Asynchronous Connectionless (ACL) and Synchronous Connection-Oriented (SCO). Various scenarios (with range variation between the sender node and the access point (AP) and also the presence of ACL or SCO transmission as interference) was designed to conduct experiment. In general, experiment was conducted with two nodes that act as sender and receiver node that connected through internet. In addition, to determine the effect of bluetooth on WLAN performance we use several test parameters, which are received signal strength indication (RSSI), signal to noise ratio (SNR), upstream and downstream, jitter, and packet loss rate (PLR). The study revealed the both ACL and SCO did not significantly affect WLAN performance, because they can only reduce the performance based on certain parameters and scenarios. But when they were compared, SCO has worst effect on WLAN performance, particularly on upstream, jitter, and PLR.
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