Roaming Free in the VR World with MP2
Yifei Xu, Xumiao Zhang, Yuning Chen, Pan Hu, Xuan Zeng, Zhilong Zheng, Xianshang Lin, Yanmei Liu, Songwu Lu, Z. Morley Mao, Wan Du, Dennis Cai
Abstract
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 MP 2 , 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, MP 2 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 MP 2 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. MP 2 achieves up to a 99.1% improvement in mean opinion scores according to the user study.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 934f8a07-7d99-42bd-8246-72fc922b3a40Builds on13
- Learning in situ: a randomized experiment in video streamingFrancis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi et al.NSDI 2020 · 360 citations
- XLINK: QoE-driven multi-path QUIC transport in large-scale video servicesZhilong Zheng, Yunfei Ma, Yanmei Liu, Furong Yang et al.SIGCOMM 2021 · 120 citations
- Firefly: Untethered Multi-user VR for Commodity Mobile DevicesXing Liu, Christina Vlachou, Feng Qian, Chendong Wang et al.USENIX ATC 2020 · 46 citations
- SEAR: Scaling Experiences in Multi-user Augmented RealityWenxiao Zhang, Bo Han, Pan HuiIEEE VR 2022 · 42 citations
- Converge: QoE-driven Multipath Video Conferencing over WebRTCSandesh Dhawaskar Sathyanarayana, Kyunghan Lee, Dirk Grunwald, Sangtae HaSIGCOMM 2023 · 42 citations
Related papers
- MuV2: Scaling up Multi-user Mobile Volumetric Video Streaming via Content Hybridization and SharingYu Liu, Puqi Zhou, Zejun Zhang, Anlan Zhang et al.MobiCom 2024 · 16 citations
- Predictive Scheduling for Virtual RealityI-Hong Hou, Narges Zarnaghi Naghsh, Sibendu Paul, Y. Charlie Hu et al.INFOCOM 2020 · 12 citations
- Scaling VR Video ConferencingMallesham Dasari, Edward Lu, Michael W. Farb, Nuno Pereira et al.IEEE VR 2023 · 7 citations
- MetaStream: Live Volumetric Content Capture, Creation, Delivery, and Rendering in Real TimeYongjie Guan, Xueyu Hou, Nan Wu, Bo Han et al.MobiCom 2023 · 47 citations
- SalientVR: saliency-driven mobile 360-degree video streaming with gaze informationShibo Wang, Shusen Yang, Hailiang Li, Xiaodan Zhang et al.MobiCom 2022 · 43 citations
