CHORUS: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming

• DOI: 10.1145/3733892.3733900
• Publication Date: 2025-05-01T04:18:14Z
• Authors: Gerui Lv; Qinghua Wu; Yanmei Liu; Zhenyu Li; Qingyue Tan; Furong Yang; Wentao Chen; Hongyu Guo; Ying Chen; Gaogang Xie
• Keywords: Chorus; Video Streaming

Increasing bandwidth demands of mobile video streaming pose a challenge in optimizing the Quality Experience (QoE) for better user engagement. Multipath transmission promises to extend network capacity by utilizing multiple wireless links simultaneously. Previous studies mainly tune packet scheduler multipath transmission, expecting higher QoE accelerating transmission. However, because application-layer Adaptive BitRate (ABR) algorithms are inherently uncoordinated with scheduling transport layer, adaptive can even experience lower than single-path. This paper proposes Chorus, cross-layer framework that coordinates optimize jointly. Chorus establishes bidirectional feedback control loops between server and client. Furthermore, introduces Coarse-grained Decisions, which assist appropriate bitrate selection considering decision throughput prediction, Fine-grained Corrections, meet predicted QoE-oriented scheduling. Extensive emulation real-world Internet evaluations show outperforms state-of-the-art MPQUIC scheduler, improving average 23.5% 65.7%, respectively.