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Optimizing 360 video delivery over cellular networks
Abstract
As an important component of the virtual reality (VR) technology, 360-degree videos provide users with panoramic view and allow them to freely control their viewing direction during video playback. Usually, a player displays only the visible portion of a 360 video. Thus, fetching the entire raw video frame wastes bandwidth. In this paper, we consider the problem of optimizing 360 video delivery over cellular networks. We first conduct a measurement study on commercial 360 video platforms. We then propose a cellular-friendly streaming scheme that delivers only 360 videos' visible portion based on head movement prediction. Using viewing data collected from real users, we demonstrate the feasibility of our approach, which can reduce bandwidth consumption by up to 80% based on a trace-driven simulation.
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“It is worth mentioning that viewpointdependent streaming can be obtained using online transcoding operations, such as using foveate-based encoding [287], or by spatially tiling the video [288].”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [288]
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“In these approaches, viewport-dependent solutions [287], [288] have been proposed for 360 video streaming, because they can reduce the bandwidth required to stream the video.”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [288]
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Chen, F., Jiang, C., Chen, P., Zheng, M., & Ling, N. (2026) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2026.104873
Gbp-llm: gaze behavior prediction in 6DoF VR via large language models
Ding, D., Zhang, W., LIU, Z., Qi, C., Cao, Z., & Zhang, J. (2026) · Multimedia Systems · doi:10.1007/s00530-026-02456-x
A Multi-Scale BiLSTM-Transformer Model for Viewport Prediction in Volumetric Video
Liu, D., Xu, Y., Zhao, Y., & Feng, D. (2026) · IEEE International Conference on Radio Frequency and Antenna Technologies (RFAT) · doi:10.1109/rfat69041.2026.11633897
Metadata
- Authors
- Qian, F., Ji, L., Han, B., & Gopalakrishnan, V.
- Affiliations
- Indiana University (US)
- AT&T (United States) (US)
- Venue
- Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges
- Publisher
- ACM
- Published
- 2016-10-03
- Pages
- 1-6
- OpenAlex
- W2523094016
- Cited by
- 402
- References
- 15
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 23 · 2023: 28 · 2022: 41 · 2021: 41 · 2020: 60 · 2019: 71 · 2018: 64 · 2017: 41 · 2016: 2
- FWCI
- 20.59
- Type
- conference paper
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Keywords
- 360-degree video, video streaming, cellular networks, bandwidth reduction, virtual reality, measurement study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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