QoE optimization based on Adaptive Bitrate Control for Multi-party Interactive Live Streaming

In multi-party interactive video live streaming, multiple streams are simultaneously transmitted to the audience. However, in this scenario, the QoE problem caused by factors such as device heterogeneity has received little attention. Firstly, we propose a QoE model for multi-party live streaming applications. In order to improve transmission quality, we propose a live streaming framework, and the rate control of the entire framework is divided into two modules: encoding control and transmission control, which are respectively solved. At the coding level, we have achieved better bit rate allocation by clustering user information. The transmission control layer achieves full utilization of network throughput through buffer feedback adjustment. The results of extensive simulation experiments show that our algorithm is superior to fixed rate algorithms, with an average QoE improvement of 2-4 times. In addition, the playback speed control strategy reduces the delay difference between different streams to an imperceptible level.