Real-time broadband communication (RTBC) scenarios, such as cloud virtual reality and 8K live streaming, further raise the criteria of the performance triangle, requiring video bitrates exceeding 30 Mbps, tail delay below 50 ms, and fairness guarantees for multi-user concurrent access. Based on our testing and analysis, existing RTBC-oriented rate control solutions, including end-to-end algorithms and network-assisted algorithms, fail to simultaneously satisfy all performance metrics. The native dynamic delay and physical-layer resource allocation strategy inherent to the 5G radio access network (RAN) are the key reasons. These solutions lack adaptation to the 5G architecture, leading to reduced decision performance. This paper proposes Choir, an innovative collaborative solution mainly deployed on 5G base stations that deeply integrates 5G radio characteristics and video streaming traffic patterns to guide efficient sender-side rate control. Extensive simulation and testbed evaluations demonstrate Choir's significant performance in achieving high average bitrate, low tail delay, and inter-flow fairness across different 5G network scenarios.

翻译：实时宽带通信（RTBC）场景，如云虚拟现实和8K直播，进一步提升了性能三角的评判标准，要求视频码率超过30 Mbps、尾部延迟低于50毫秒，并保证多用户并发接入的公平性。基于我们的测试与分析，现有的面向RTBC的速率控制方案，包括端到端算法和网络辅助算法，均无法同时满足所有性能指标。5G无线接入网络（RAN）固有的动态延迟及物理层资源分配策略是关键原因。这些方案缺乏对5G架构的适应性，导致决策性能下降。本文提出Choir，一种创新协作方案，主要部署于5G基站，深度融合5G无线特性和视频流传输模式，以指导高效的发送端速率控制。大量仿真与测试平台评估表明，Choir在多种5G网络场景下，在实现高平均码率、低尾部延迟及流间公平性方面具有显著性能。