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        <identifier>oai:drops-oai.dagstuhl.de:25594</identifier>
        <datestamp>2026-06-23T12:09:54Z</datestamp>
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          <dc:title>Tight Loops, Smooth Streams: Responsive Congestion Control for Real-Time Video</dc:title>
          <dc:creator>Karimi, Pantea</dc:creator>
          <dc:creator>Fouladi, Sadjad</dc:creator>
          <dc:creator>Sivaraman, Vibhaalakshmi</dc:creator>
          <dc:creator>Alizadeh, Mohammad</dc:creator>
          <dc:subject>real-time video</dc:subject>
          <dc:subject>congestion control</dc:subject>
          <dc:subject>transport protocols</dc:subject>
          <dc:subject>video rate control</dc:subject>
          <dc:subject>low-latency video communication</dc:subject>
          <dc:subject>tight feedback loop</dc:subject>
          <dc:description>Real-time video streaming relies on rate control to match video bitrate to network capacity while keeping latency low. Existing deployed video rate controllers react slowly to network changes, causing under-utilization and latency spikes. In contrast, modern delay-sensitive congestion control algorithms (CCAs) adapt on round-trip-time timescales, maintaining a tight feedback loop that achieves both high utilization and low latency. &#13;
We introduce Vidaptive, a lightweight framework that enables real-time video to leverage responsive CCAs without codec changes. Vidaptive decouples encoding from transmission: it paces video frames at the CCA’s rate and injects dummy packets when the encoder output is insufficient, preserving a continuous feedback loop. An online algorithm dynamically adjusts the encoder’s target bitrate to align with CCA capacity while bounding frame latency.&#13;
Implemented in Google WebRTC, Vidaptive improves both video quality and tail latency on diverse cellular traces. Compared to GCC, it delivers 1.5× higher bitrate, +40% VMAF, +1.4 dB SSIM, +1.3 dB PSNR, and reduces 95th-percentile frame latency by 57% (2.2 seconds). Against Salsify, it achieves lower tail latency without invasive codec modifications. These results show that coupling existing CCAs with a thin adaptation layer can outperform specialized video rate controllers while remaining deployable in practice.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Pantea Karimi and Sadjad Fouladi and Vibhaalakshmi Sivaraman and Mohammad Alizadeh</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 139, 1st New Ideas in Networked Systems (NINeS 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.NINeS.2026.9</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-255942</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NINeS.2026.9</dc:identifier>
          <dc:language>eng</dc:language>
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