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TCP Performance over Wi-Fi: Joint Impact of Buffer and Channel Losses

Publication Type : Journal Article

Publisher : IEEE Transactions on Mobile Computing,

Source : IEEE Transactions on Mobile Computing, Volume 15, Number 5, p.1279-1291 (2016)

Url : https://ieeexplore.ieee.org/document/7164323

Keywords : Analytical models, bandwidth-delay product, buffer losses, congestion control, fixed point, IEEE 802.11 Standard, IEEE 802.11 WLAN, Internet access, long-lived TCP connections, Media Access Protocol, Medium access control layer, probability, TCP, TCP performance, Throughput, transport protocols, unfairness, Wi-Fi network, wireless channel, wireless communication, wireless errors, wireless LAN, Wireless sensor networks

Campus : Bengaluru, Coimbatore

School : School of Engineering

Department : Electronics and Communication

Year : 2016

Abstract : We propose an analytical model for a Wi-Fi network acting as a last-mile Internet access with multiple long-lived TCP connections on both the up and down links. Our model considers the joint impact of buffer losses at the access point, contention at the medium access control layer, and packet losses due to the wireless channel being erroneous. We show that the model accurately quantifies the probability of an arbitrary TCP packet being discarded, and the total throughput obtained on the up and down links. Furthermore, quantitative insights can be gained into the throughput that long-lived TCP flows achieve under the joint impact of all aforementioned types of losses. In particular, we find that the wireless channel errors and buffer overflows both lead to throughput unfairness, but that they do so in the opposite direction on the up and down links, respectively. We demonstrate that this insight can be exploited so as to significantly mitigate the throughput unfairness without compromising the total obtainable network throughput.

Cite this Research Publication : S. Raj Pokhrel, Manoj Kumar Panda, Hai Le Vu, and Mandjes, M., “TCP Performance over Wi-Fi: Joint Impact of Buffer and Channel Losses”, IEEE Transactions on Mobile Computing, vol. 15, pp. 1279-1291, 2016.

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