VR Viewport QoS Control for Central and Peripheral Image Delivery
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Solution Overview
Problem
Existing communication networks face challenges in efficiently managing and optimizing the delivery of virtual reality (VR) and augmented reality (AR) content, particularly in differentiating and providing varying quality of service (QoS) for different parts of the field of view (FoV) in VR/AR experiences.
Innovation Solution
A method and apparatus for controlling VR image delivery in communication networks by determining and associating viewport identifications to image part data, creating packet detection rules, and using 5G QoS identifiers to differentiate and manage QoS flows for different parts of the FoV, ensuring optimal image quality delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single QoS flow is used for all VR image data, then device complexity is reduced, but image quality differentiation between central and peripheral FoV parts cannot be achieved
Solution Approach 1:
The patent segments the VR image data into multiple QoS flows based on viewport identification, allowing different image quality levels for central and peripheral parts of the field of view. This segmentation enables differentiated QoS treatment while maintaining manageable complexity through systematic flow classification.
Solution Approach 2:
The patent applies local quality by assigning different QoS parameters to different spatial regions of the VR image. Central viewport regions receive higher quality treatment with stricter QoS parameters, while peripheral regions use relaxed parameters, optimizing overall system performance while meeting user perception requirements.
2Manufacturing precision
If multiple separate data flows are created for different image parts, then image quality optimization is improved, but network resource overhead increases
Solution Approach 1:
The patent creates a common data flow that carries multiple QoS flows simultaneously, each identified by viewport identification markers. This universal approach allows differentiated QoS treatment within a single flow structure, reducing network overhead while maintaining image quality optimization capabilities.
Solution Approach 2:
The patent introduces viewport identification as an intermediary element that enables QoS differentiation without requiring separate physical data flows. This intermediary mechanism allows the network to distinguish and prioritize different image regions while using a unified transmission channel, balancing quality optimization with resource efficiency.
3Ease of operation
If uniform QoS is applied to all VR image data, then network configuration simplicity is maintained, but user experience quality deteriorates
Solution Approach 1:
The patent implements dynamic QoS adjustment based on viewport identification, allowing the system to adapt QoS parameters according to the specific image region being transmitted. This dynamic approach maintains configuration simplicity through automated identification-based routing while significantly improving user experience quality through region-specific optimization.
Data Source
AI summary
Methods, user equipment and apparatus for controlling VR image in a communication network. The VR image is represented by image data being associated to respective parts of the image. The VR image data is handled on the basis of identifications indicating different viewports for a user.