Split Computing for AR via Dynamic UE Capability Feedback
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Solution Overview
Problem
Conventional systems for augmented reality (AR) split rendering in 5G communication systems fail to provide timely and accurate performance information from user equipment (UE) to servers, leading to inconsistencies in AR experiences due to performance changes in UE devices, which can result in delayed or mismatched virtual and real object displays.
Innovation Solution
A method and device for capability-based split computing that detects abnormal device status through environment and performance parameters, transmitting UE capability information to a server, and receiving adjusted content and processes to ensure optimal performance, allowing for dynamic adjustment of processing complexity based on UE capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the UE processes high-complexity content locally, then processing quality is improved, but device heat generation increases and performance deteriorates
Solution Approach 1:
The patent divides the rendering process into two segments: complex rendering computations are performed on the server, while the UE only handles lightweight tasks such as pose correction and final image composition. This segmentation allows high-quality rendering without overloading the UE's processing capabilities, thereby preventing excessive heat generation and performance deterioration.
2Loss of energy
If the UE capability information is not transmitted to the server, then network communication overhead is reduced, but AR rendering consistency deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the UE periodically transmits its capability information (processing performance, temperature, power consumption) to the server. The server uses this feedback to dynamically adjust the rendering complexity and content delivery strategy, ensuring that the UE can consistently render AR content without overload while maintaining rendering quality and consistency.
3Productivity
If the processing complexity is dynamically adjusted, then device performance is maintained, but system complexity increases
Solution Approach 1:
The patent introduces dynamic adjustment of processing complexity based on real-time UE capability feedback. The server continuously monitors UE status (temperature, power consumption, processing performance) and adapts the rendering complexity accordingly. This dynamic approach maintains optimal device performance under varying conditions while the increased system complexity is managed through automated server-side control algorithms.
Data Source
AI summary
A method and device for capability-based split computing is disclosed. The method includes detecting an abnormal status of a user equipment (UE) based on an environment parameter for a device and a performance parameter of the device; transmitting, to a server, a message including UE capability information related to the environment parameter and the performance parameter; receiving, from the server, information related to adjusted content and an adjusted process according to the UE capability information, and executing the adjusted process to receive the adjusted content.