Optimized Joint Unicast-Multicast Panoramic Video Streaming in Cellular Networks

Majidi, Akbar; Zahran, Ahmed H.

doi:10.1109/icnp49622.2020.9259362

Cited by 3 publications

(7 citation statements)

References 12 publications

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“…Some previous works have proposed solution for streaming of 360-degree video to multiple users [6]- [9], [23]- [25]. In the early work [23], the authors proposed to transmit partial frames to users based on the user's viewing direction.…”

Section: B Multi-user 360 Video Streamingmentioning

confidence: 99%

“…Recent works have proposed to combine tile-based viewport adaptive streaming and multicast for streaming 360degree videos to multiple users [6]- [9], [25], [26]. In [25], users are first grouped into multiple multicast groups based on their network conditions.…”

Section: B Multi-user 360 Video Streamingmentioning

confidence: 99%

“…The drawback of this solution is that it does not consider the fact that different users tend to watch different parts of a 360degree video. In [9], the authors proposed to allow a tile in a group to be delivered in either the unicast or multicast mode to account for the diversity in user viewing behaviors.…”

Section: B Multi-user 360 Video Streamingmentioning

confidence: 99%

“…To address the above challenge, existing solutions rely on tile-based viewport adaptive streaming and multicast to reduce network bandwidth consumption [6]- [9]. In particular, a full 360-degree video is divided into non-overlapping parts called tiles, each of which is encoded into multiple versions with different quality levels.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, if a user receives multiple versions of a tile, only the version with the highest quality is used while the others are discarded, causing waste of available network resources. The methods proposed in [8], [9] deliver a tile version to a user in either the unicast or multicast mode. This way, sending multiple versions of a tile to a same user can be avoided.…”

Section: Introductionmentioning

confidence: 99%

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Scalable Multicast for Live 360-Degree Video Streaming Over Mobile Networks

et al. 2022

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Thanks to its ability to provide immersive experience to users, 360-degree video has become one of the key enablers of Virtual Reality. However, the huge data size of 360-degree video poses a challenging problem for live streaming of this special type of video over resource-constrained networks. In this paper, we propose a novel framework for live 360-degree video streaming to multiple users over mobile networks. Our proposed framework jointly utilizes Scalable Video Coding and multicast to deliver 360 video to users in a bandwidth-efficient manner. In particular, 360-degree video is split into small parts called tiles, each is encoded into multiple layers using Scalable Video Encoding. The proposed framework then selects suitable tile layers to maximize the overall Quality of Experience of all users. To support realtime adaptation, we design a Linear Regression-based algorithm to estimate the weights of tiles of individual users. In addition, an efficient algorithm for deciding the suitable tile layers and their transmission modes is proposed. Experimental results show that the proposed method can significantly improve the average viewport quality compared to state-of-the-art methods.

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