Simplified Scene Streaming for Dynamic 5G AR/MR on EDGAR Devices
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Solution Overview
Problem
The existing 5G network architecture for augmented reality (AR)/mixed reality (MR) devices does not support scene updates for edge-dependent AR (EDGAR) devices, which have limited computational resources and rely on edge servers for computation.
Innovation Solution
A method and apparatus for selecting media content with a full scene description, deriving a simplified scene description, and creating an AR/MR session using a 5G media streaming downlink (5GMSd) application server (AS) to stream media content, enabling dynamic updates on EDGAR devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the existing 5G network architecture is used for AR/MR devices, then device compatibility is maintained, but scene updates are not supported for EDGAR devices
Solution Approach 1:
The scene description is segmented into two parts: a full scene description containing complete scene information, and a simplified scene description containing only essential elements needed for EDGAR devices. This segmentation allows the system to provide scene updates to EDGAR devices without requiring full scene complexity, thus resolving the contradiction between adaptability and reliability.
Solution Approach 2:
Different quality levels of scene descriptions are provided to different device types. STAR devices receive full scene descriptions with complete functionality, while EDGAR devices receive simplified scene descriptions optimized for their computational constraints. This local quality approach enables scene update support for EDGAR devices while maintaining full functionality for capable devices.
2Productivity
If full scene descriptions are streamed to EDGAR devices, then complete AR/MR functionality is provided, but computational load exceeds device capabilities
Solution Approach 1:
The essential elements needed for AR/MR functionality are extracted from the full scene description to create a simplified version. This extraction process removes unnecessary computational complexity while retaining the core functionality required by EDGAR devices, thus providing productivity without excessive energy consumption.
Solution Approach 2:
Instead of providing the complete full scene description to EDGAR devices, only the necessary partial information is transmitted. This partial action approach delivers sufficient AR/MR functionality for edge-dependent devices without the excessive computational load that would result from complete scene descriptions.
3Use of energy by moving object
If simplified scene descriptions are used for EDGAR devices, then computational load is reduced, but AR/MR experience quality decreases
Solution Approach 1:
The scene description parameters are changed and optimized specifically for EDGAR devices. By adjusting the level of detail and complexity parameters in the simplified scene description, the system achieves an optimal balance between reducing computational energy consumption and maintaining acceptable AR/MR experience quality for edge-dependent devices.
Data Source
AI summary
A method is provided. The method includes selecting media content including a full scene description, selecting a 5th generation (5G) media streaming downlink (5GMSd) application server (AS) to stream the media content based on the full scene description, deriving a simplified scene description based on the full scene description, and creating an augmented reality (AR)/mixed reality (MR) session based on the simplified scene description.


