HybridRTS: A Hybrid Congestion Control Framework with Rule and Reinforcement Learning for Low-Latency WebRTC Live Video Streaming

Kaizhe Zhang, Zhiwen Wang, Hansen Ma, Haipeng Du, Weizhan Zhang. HybridRTS: A Hybrid Congestion Control Framework with Rule and Reinforcement Learning for Low-Latency WebRTC Live Video Streaming. In 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application, HPCC/DSS/SmartCity/DependSys 2022, Hainan, China, December 18-20, 2022. pages 1757-1764, IEEE, 2022. [doi]

@inproceedings{ZhangWMDZ22,
  title = {HybridRTS: A Hybrid Congestion Control Framework with Rule and Reinforcement Learning for Low-Latency WebRTC Live Video Streaming},
  author = {Kaizhe Zhang and Zhiwen Wang and Hansen Ma and Haipeng Du and Weizhan Zhang},
  year = {2022},
  doi = {10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00265},
  url = {https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00265},
  researchr = {https://researchr.org/publication/ZhangWMDZ22},
  cites = {0},
  citedby = {0},
  pages = {1757-1764},
  booktitle = {24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application, HPCC/DSS/SmartCity/DependSys 2022, Hainan, China, December 18-20, 2022},
  publisher = {IEEE},
  isbn = {979-8-3503-1993-4},
}