Panoramic Video Multicast Grouping and Bitrate Adaptation
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Solution Overview
Problem
Existing solutions for real-time 360-degree video multicast in mobile networks fail to account for varying user fields of view, leading to reduced network resource utilization and poor Quality of Experience (QoE) due to frequent bitrate switching.
Innovation Solution
A system and method that integrates data acquisition, video bitrate adaptation, and multicast management using deep reinforcement learning to dynamically adjust bitrates based on user fields of view, buffer lengths, and channel quality indicators, optimizing resource allocation and grouping to ensure efficient resource use and consistent QoE.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users with different field of view are aggregated into one multicast group, then the multicast service can be provided to more users, but the effectiveness of multicast is reduced and network resources are not fully utilized
Solution Approach 1:
The patent segments users into different multicast groups based on their field of view characteristics. Users with similar FoV requirements are grouped together, allowing the system to provide multicast services to diverse users while maintaining group homogeneity for efficient resource utilization. This segmentation resolves the contradiction by enabling broad service coverage through multiple groups rather than a single heterogeneous group.
Solution Approach 2:
The patent applies local quality by tailoring the video bitrate and resolution specifically to each user's field of view requirements within their multicast group. Instead of providing uniform quality to all users, the system adapts the video quality locally according to individual FoV characteristics, thereby reducing overall network resource consumption while maintaining service effectiveness for each user.
2Productivity
If bitrate decision method pursues maximum utilization of resources, then network resource efficiency is improved, but QoE experience deteriorates due to frequent bitrate switching
Solution Approach 1:
The patent implements dynamic bitrate adjustment within multicast groups based on real-time channel quality indicators (CQI) and user buffer status. The system dynamically selects bitrates that balance resource efficiency with QoE stability, avoiding frequent switching by considering both network conditions and user experience requirements. This dynamic approach resolves the contradiction by adapting bitrate decisions to current system state rather than pursuing maximum utilization regardless of QoE impact.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors CQI values, buffer lengths, and QoE metrics from users in multicast groups. This feedback is used to adjust bitrate decisions in real-time, ensuring that resource efficiency improvements do not compromise QoE stability. The feedback loop prevents frequent bitrate switching by detecting when conditions warrant changes and when they would degrade user experience.
3Productivity
If 360-degree video is transmitted in multicast mode, then real-time streaming to multiple users is achieved, but resource allocation becomes complex due to varying user fields of view
Solution Approach 1:
The patent segments the 360-degree video content into multiple tiles corresponding to different field of view regions. Each multicast group receives only the video tiles relevant to their members' FoV requirements, significantly reducing resource allocation complexity. This segmentation allows real-time streaming to multiple users with different FoV while avoiding the need to transmit all possible video regions to all users.
Solution Approach 2:
The patent applies local quality by transmitting different video qualities and resolutions for different field of view regions within the 360-degree video. Users receive high-quality video for their specific FoV region while other regions are transmitted at lower quality or not at all. This approach enables real-time multicast streaming while simplifying resource allocation by focusing computational and network resources on relevant video regions for each user group.
Data Source
AI summary
A system and method for real-time transmission of a panoramic video, which propose a new grouping method and bitrate decision method specifically for a panoramic 360-degree video. The grouping method takes into account fields of view of different users, thus effectively reducing the bandwidth consumption of repeated video segments, while ensuring user fairness and making full use of network bandwidth resources when allocating resources. The system and method of the invention can maximize the long-term QoE of users under the condition of limited bandwidth, and avoid the problem that the existing schemes are complex and difficult to meet real-time requirements of users.