XR Distributed Rendering for Low-Latency Mobile Communication
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Solution Overview
Problem
Current extended reality (XR) services face challenges in improving actual user experience due to high computing requirements and limitations in mobility and latency, particularly in VR services, which are not adequately addressed by existing rendering architectures.
Innovation Solution
A distributed rendering architecture is implemented where a terminal device offloads foreground and background content processing to edge computing nodes and cloud servers, reducing computational burden and latency by utilizing edge computing power nodes and cloud servers to handle rendering and decoding tasks, with intelligent task distribution based on network and computing resource status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If terminal device performs local rendering and decoding of foreground and background content, then rendering quality and responsiveness are improved, but computing requirements and device complexity increase
Solution Approach 1:
The rendering task is segmented into foreground content rendering (performed by terminal device) and background content rendering (performed by edge computing node), allowing distribution of computational complexity while maintaining overall rendering quality
Solution Approach 2:
An edge computing node is introduced as an intermediary between the terminal device and cloud servers, handling background content rendering and decoding to reduce the computational burden on the terminal device while maintaining rendering quality
2Loss of time
If terminal device performs all processing locally, then latency is reduced, but device power consumption and computational load increase
Solution Approach 1:
Processing tasks are segmented between terminal device (foreground rendering, composition) and edge computing node (background rendering, decoding), distributing power consumption while maintaining low latency through collaborative processing
Solution Approach 2:
Edge computing node acts as an intermediary that performs computationally intensive background rendering and decoding, reducing power consumption at the terminal device while maintaining acceptable latency through optimized communication
3Ease of operation
If terminal device is lightweight with minimal processing, then mobility and ease of operation are improved, but rendering quality and responsiveness deteriorate
Solution Approach 1:
Edge computing node serves as an intermediary that provides remote rendering capabilities, allowing terminal device to remain lightweight and portable while maintaining high rendering quality through distributed processing
Solution Approach 2:
Background content is rendered and decoded at the edge computing node and transmitted to the terminal device, effectively copying the computational functionality to a remote location while keeping the terminal device lightweight
Data Source
AI summary
A communication method includes sending, by a terminal device, first indication information to a first communication device. The first indication information indicates the first communication device to render first foreground content, and the first foreground content is to-be-displayed foreground content of the terminal device. The communication information also includes receiving, by the terminal device, first information from the first communication device. The first information comprises second foreground content and second background content. The second foreground content is obtained by rendering the first foreground content. The second background content is obtained by decoding third background content. The third background content is determined based on first background content. The first background content is to-be-displayed background content of the terminal device.