Performance of TCP over 802.11ac based WLANs via testbed measurements

Alakoca, Hakan; Karaca, Mehmet; Kurt, Güneş Karabulut

doi:10.1109/iswcs.2015.7454420

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…After measuring the RTT and throughput for file transfers, they concluded that Yet Another High-speed TCP (YeAH) was the best CCA. In [13], a Wi-Fi network with IEEE 802.11n and IEEE 802.11ac was built to evaluate and compare 13 TCP CCAs. The authors found that IEEE 802.11ac outperformed IEEE 802.11n.…”

Section: Related Workmentioning

confidence: 99%

An Accurate Platform for Investigating TCP Performance in Wi-Fi Networks

et al. 2023

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An increasing number of devices are connecting to the Internet via Wi-Fi networks, ranging from mobile phones to Internet of Things (IoT) devices. Moreover, Wi-Fi technology has undergone gradual development, with various standards and implementations. In a Wi-Fi network, a Wi-Fi client typically uses the Transmission Control Protocol (TCP) for its applications. Hence, it is essential to understand and quantify the TCP performance in such an environment. This work presents an emulator-based approach for investigating the TCP performance in Wi-Fi networks in a time- and cost-efficient manner. We introduce a new platform, which leverages the Mininet-WiFi emulator to construct various Wi-Fi networks for investigation while considering actual TCP implementations. The platform uniquely includes tools and scripts to assess TCP performance in the Wi-Fi networks quickly. First, to confirm the accuracy of our platform, we compare the emulated results to the results in a real Wi-Fi network, where the bufferbloat problem may occur. The two results are not only similar but also usable for finding the bufferbloat condition under different methods of TCP congestion control. Second, we conduct a similar evaluation in scenarios with the Wi-Fi link as a bottleneck and those with varying signal strengths. Third, we use the platform to compare the fairness performance of TCP congestion control algorithms in a Wi-Fi network with multiple clients. The results show the efficiency and convenience of our platform in recognizing TCP behaviors.

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Section: Related Workmentioning

confidence: 99%

An Accurate Platform for Investigating TCP Performance in Wi-Fi Networks

et al. 2023

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“…The first corresponds to the standard 802.11.ac used for wireless communication with 80 Mhz channel (see Fig. 3 of [5] ). The second corresponds to the standard 802.11.ax (Wi-Fi 6) with 160 Mhz channel.…”

Section: System Descriptionmentioning

confidence: 99%

“…Having fixed k, σ and c k = ψ pu (s 2 k ), for all the PUs under consideration, we can now use the analytical model of §IV-A to obtain numerical values for the wireless latency (2), computational latency (5) and the maximum number of supported users (3).…”

Section: B Measurement Campaignmentioning

confidence: 99%

On the Deployability of Augmented Reality Using Embedded Edge Devices

Ben-Ameur¹,

Araldo²,

Bronzino³

2020

Preprint

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Edge Computing exploits computational capabilities deployed at the very edge of the network to support applications with low latency requirements. Such capabilities can reside in small embedded devices that integrate dedicated hardware -e.g., a GPU -in a low cost package. But these devices have limited computing capabilities compared to standard server grade equipment. When deploying an Edge Computing based application, understanding whether the available hardware can meet target requirements is key in meeting the expected performance. In this paper, we study the feasibility of deploying Augmented Reality applications using Embedded Edge Devices (EEDs). We compare such deployment approach to one exploiting a standard dedicated server grade machine. Starting from an empirical evaluation of the capabilities of these devices, we propose a simple theoretical model to compare the performance of the two approaches. We then validate such model with NS-3 simulations and study their feasibility. Our results show that there is no one-fits-all solution.If we need to deploy high responsiveness applications, we need a centralized server grade architecture and we can in any case only support very few users. The centralized architecture fails to serve a larger number of users, even when low to mid responsiveness is required. In this case, we need to resort instead to a distributed deployment based on EEDs.

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“…Turkovic et al[17] evaluated the interactions between loss-based, delay-based and hybridbased CC protocols, mainly revealing that the bottleneck bandwidth can not always be shared among these CC protocols, especially with flows with different RTTs. Callegari et al[18] offered a comprehensive analysis on the throughput, fairness and friendliness of 13 CC protocols upon wired, wireless and simulated scenarios, demonstrating that the performance offered by different CC protocols strongly depends on network properties (e.g., RTT and loss rate).However, to the best of our knowledge, only a few measurement studies based on wireless LAN (i.e., Wi-Fi) have been conducted in recent years[13,14,19].Murray et al[13] evaluated the performance of different CC protocols and showed that CUBIC and Hybla outperform Westwood+ and Veno in both wired and wireless scenarios. Ong et al[14] conducted a set of evaluations on the performance of CC protocols based on Wi-Fi and cellular network, showing that alternative CC protocols, e.g., Westwood+ and YeAH, could not provide significant increase in performance compared with CUBIC.…”

mentioning

confidence: 99%

“…Ong et al[14] conducted a set of evaluations on the performance of CC protocols based on Wi-Fi and cellular network, showing that alternative CC protocols, e.g., Westwood+ and YeAH, could not provide significant increase in performance compared with CUBIC. Alakoca et al[19] analyzed the performance of several CC protocols in 2.4GHz (IEEE 802.11n) and 5GHz (IEEE 802.11ac) Wi-Fi networks, mainly presenting that BIC and CUBIC achieve higher and more stable throughput compared with other CC protocols.…”

mentioning

confidence: 99%

Extensive evaluation on the performance and behaviour of TCP congestion control protocols under varied network scenarios

et al. 2019

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In recent decades, many TCP Congestion Control (CC) protocols have been proposed to improve the performance and reliability of TCP in various network scenarios. However, CC protocols are usually closely coupled with network conditions such as latency and packet loss. Considering that networks with different properties are common, e.g., wired/wireless LAN and Long Fat Networks (LFNs), investigating both performance and behaviors of CC protocols under varied network scenarios becomes crucial for both network management and development. In this paper, we conduct a comprehensive measurement study on the goodput, RTT, retransmission, friendliness, fairness, convergence time and stability of most widely-used CC protocols over wired LAN/WAN and wireless LAN (both 2.4GHz and 5GHz Wi-Fi). We also conduct comparative studies with respect to transmission cost, congested reverse path and bottleneck queue size in network simulator.Based on our analysis, we reveal several interesting and original observations. We found that the goodput of BBR is at least 22.5% lower than other CC protocols in wireless LAN due to insufficient pacing rate, even though it can always fully utilize the bottleneck bandwidth with low RTT in wired networks. We also observed that the total on-wire data volume of BBR is higher

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Performance of TCP over 802.11ac based WLANs via testbed measurements

Cited by 9 publications

References 6 publications

An Accurate Platform for Investigating TCP Performance in Wi-Fi Networks

An Accurate Platform for Investigating TCP Performance in Wi-Fi Networks

On the Deployability of Augmented Reality Using Embedded Edge Devices

Extensive evaluation on the performance and behaviour of TCP congestion control protocols under varied network scenarios

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