Publication:
Low-Latency Volumetric Video Conferencing in Congested Networks Through L4S
| dc.contributor.author | De Fre, Matthias | |
| dc.contributor.author | van der Hooft, Jeroen | |
| dc.contributor.author | Chang, Chia-Yu | |
| dc.contributor.author | De Schepper, Koen | |
| dc.contributor.author | Alface, Patrice Rondao | |
| dc.contributor.author | De Vleeschauwer, Danny | |
| dc.contributor.author | Wauters, Tim | |
| dc.contributor.author | Steenkiste, Peter | |
| dc.contributor.author | De Turck, Filip | |
| dc.contributor.imecauthor | De Fre, Matthias | |
| dc.contributor.imecauthor | van der Hooft, Jeroen | |
| dc.contributor.imecauthor | Wauters, Tim | |
| dc.contributor.imecauthor | De Turck, Filip | |
| dc.contributor.orcidimec | De Fre, Matthias::0009-0004-6044-5658 | |
| dc.contributor.orcidimec | van der Hooft, Jeroen::0000-0002-9416-9661 | |
| dc.contributor.orcidimec | Wauters, Tim::0000-0003-2618-3311 | |
| dc.contributor.orcidimec | De Turck, Filip::0000-0003-4824-1199 | |
| dc.date.accessioned | 2025-06-02T10:18:44Z | |
| dc.date.available | 2025-05-30T04:56:59Z | |
| dc.date.available | 2025-06-02T10:18:44Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Current networking solutions are unable to satisfy the low-latency requirements of real-time volumetric video conferencing when faced with heavy congestion scenarios. Traditional congestion controllers use packet loss or the change in round-trip time (RTT) to estimate the bandwidth. Commonly, this method is too slow as congestion has already occurred and the receiving user has already experienced a latency spike. Low latency, low loss and scalable throughput (L4S), recently published as RFC 9330, wants to alleviate this problem by aiming for sub 1 ms queuing delay for low-latency traffic by using accurate explicit congestion notification (AccECN) packet marking to notify applications of early congestion. We propose an L4S-based pipeline for volumetric video delivery, which achieves a more consistent latency under congestion compared to web real-time communication (WebRTC). In addition, L4S bandwidth estimation achieves a 45% faster convergence compared to Google congestion control (GCC) estimation, commonly used in WebRTC. Furthermore, in our detailed evaluation setup the L4S application experiences no packet loss, while the WebRTC-based version suffers from irrecoverable packet loss, resulting in 3% of frames being undecodable. | |
| dc.identifier.doi | 10.1145/3712676.3714443 | |
| dc.identifier.eisbn | 979-8-4007-1467-2 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/45738 | |
| dc.publisher | ASSOC COMPUTING MACHINERY | |
| dc.source.beginpage | 113 | |
| dc.source.conference | 16th Multimedia Systems Conference-MMSYS | |
| dc.source.conferencedate | 2025-03-31 | |
| dc.source.conferencelocation | Stellenbosch | |
| dc.source.endpage | 123 | |
| dc.source.journal | 16th ACM Multimedia Systems Conference | |
| dc.source.numberofpages | 11 | |
| dc.subject.keywords | REAL-TIME | |
| dc.title | Low-Latency Volumetric Video Conferencing in Congested Networks Through L4S | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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