A Fuzzy-Based Adaptation Controller For Low Latency Live Video Streaming

HTTP adaptive streaming with chunked transfer encoding can provide low latency live video streaming experience. However, providing high and smooth quality video streaming experience under low latency conditions poses a great challenge for Adaptive BitRate (ABR) algorithm design due to the shorter time to react to bandwidth fluctuations. To address the problem, we design a Fuzzy logic controller based ABR for low latency live video streaming with Chunked Transfer Encoding (FCTE). We take player buffer size, throughput mean, and throughput standard deviation as inputs to make bitrate decisions. By making full use of network information and dealing with uncertainties using fuzzy language, FCTE can make quick and robust bitrate decisions in the complicated network environment. We evaluate FCTE over five network scenarios released by Twitch. FCTE achieves average QoE improvement by 129%, 338%, and 127% compared with three representative algorithms: L2A, LoL, and Stallion, respectively