Yifei Xu, University of California, Los Angeles; Xumiao Zhang, University of Michigan and Alibaba Cloud; Yuning Chen, University of California, Merced; Pan Hu, Uber Technologies, Inc.; Xuan Zeng, Zhilong Zheng, Xianshang Lin, and Yanmei Liu, Alibaba Cloud; Songwu Lu, University of California, Los Angeles; Z. Morley Mao, University of Michigan; Wan Du, University of California, Merced; Dennis Cai and Ennan Zhai, Alibaba Cloud; Yunfei Ma, Uber Technologies, Inc.
Free-roaming VR which allows a group of users to navigate in rooms and even buildings, enhances the VR experience by making it more immersive and interactive. Streaming VR videos over wireless enables unconstrained experiences but raises unprecedented requirements in mobility, efficiency, and scalability. Existing solutions fail in one or more of the following challenges: maintaining low latency during handover, balancing loads on different APs, and stabilizing bitrate for competing users, due to their decentralized nature where each user lacks information about others and makes locally optimal decisions. To address these problems, we present MP2, a centralized VR streaming system that coordinates multiple Wi-Fi links and video bitrates among users for better QoE. A centralized controller collects cross-layer information from each user and makes better decisions based on global information. It achieves this in a timely manner through accurate modeling and the use of efficient pruning and partitioning algorithms. To our knowledge, MP2 is the first centrally coordinated VR streaming system that supports multi-user free-roaming. Comprehensive benchmarks including real-world tests, large-scale emulation, and trace-driven user studies, confirm the effectiveness of MP2 against state-of-the-art solutions. It achieves 35× improvement in tail latency, 1.56× in bitrate, and 1.86× in QoE over state-of-the-art baselines. MP2 achieves up to a 99.1% improvement in mean opinion scores according to the user study.
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