Network congestion control and its impact on video streaming QoE.

Ravid Hadar, Michael Schapira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Congestion control plays a crucial role in Internet-based content delivery. Congestion control brings order to the Internet's crowded traffic system by sharing the scarce network bandwidth between competing services and users. Congestion control algorithms continuously modulate the rate at which data packets are injected into the network by traffic sources in response to network conditions. Congestion control immensely impacts quality of experience (QoE) for services like video streaming, video conferencing, and cloud gaming; sending packets too slowly prevents supporting high video quality (HD/UHD); sending too fast can overwhelm the network, resulting in data being lost or delayed, leading to phenomena such as video rebuffering. While congestion control has been a key focus for both academic and industrial research for decades, the exact correlation between the performance of the congestion control algorithms employed by video servers and the QoE experienced by video clients remains poorly understood. We will report on our experimental results along these lines.
Original languageEnglish
Title of host publicationMHV '22
Subtitle of host publicationProceedings of the 1st Mile-High Video Conference
EditorsChristian Timmerer, Dan Grois, Ekrem Çetinkaya, Minh Nguyen
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Number of pages1
ISBN (Print)978-1-4503-9222-8
StatePublished - Mar 2022
EventMHV '22: Mile-High Video Conference - Colorado Convention Center, Denver, United States
Duration: 1 Mar 20223 Mar 2022
Conference number: 1


ConferenceMHV '22
Country/TerritoryUnited States
Internet address


  • Congestion Control
  • QoE
  • Quality of Experience
  • Video Streaming
  • Transport Protocols
  • Online Learning


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