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Kui Tan

dblp:364/7708 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Transport protocols and congestion control · 38% Content delivery and video streaming · 38% Cellular and mobile networks · 12%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Transport protocols and congestion control › TCP congestion control
congestion window
0.712023
CWnd-Loan - A New Approach to Improve Live Video Performance in RTT-Spiking Networks · ICNP 2023
Content delivery and video streaming
live streaming
0.712023
CWnd-Loan - A New Approach to Improve Live Video Performance in RTT-Spiking Networks · ICNP 2023
Cellular and mobile networks
5g
0.212023
CWnd-Loan - A New Approach to Improve Live Video Performance in RTT-Spiking Networks · ICNP 2023
Wireless networking › WLAN › IEEE 802.11 amendment
wi-fi 6
0.212023
CWnd-Loan - A New Approach to Improve Live Video Performance in RTT-Spiking Networks · ICNP 2023

Methods — techniques the papers use, named apart from their topics

QUIC · 0.7CUBIC · 0.7BBR · 0.7
YearPublicationVenuePosition
2023 CWnd-Loan - A New Approach to Improve Live Video Performance in RTT-Spiking Networks
abstract
With the rapid advances in high-speed mobile networks such as 5G, Wi-Fi 6, and the upcoming 6G and Wi-Fi 7, streaming live video has become ubiquitous for mobile users. However, live video is susceptible to short-term network condition fluctuations which could lead to video stalls. Our investigations revealed that a substantial portion of such fluctuations were in fact caused by RTT spikes that were not congestion-related. These often confuse the transport protocol into dropping the transmission rate significantly, resulting in video stalls. This motivated us to develop a novel scheme called CWnd-loan to reduce the sender's CWnd-limited idle time during RTT spikes. We applied CWnd-loan to the QUIC protocol with BBR/CUBIC congestion control and strategically deployed it in a tier-1 live video service. The results show that CWnd-loan can effectively reduce sender CWnd-limited idle time by up to 18%, consequently reducing the duration and number of live video stalls by as much as 8.9% and 10.6%. Furthermore, CWnd-loan can also reduce the first-frame time and the playback failure rate by up to 3.2% and 2.7%, respectively. CWnd-loan is designed to complement existing congestion control algorithms and thus could potentially be applied to current as well as future TCP/QUIC designs to tackle RTT spikes commonly found across mobile and wireless networks.
Lingfeng Guo, Yan Liu 0047, Jack Y. B. Lee, Fuyu Wang 0006, Changkui Ouyang, Wenzheng Yang, Shengtong Zhu, Kui Tan
ICNP9