Temporary Data Boost for AR VR Avatar Model Downloads

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Solution Overview

Problem

Current wireless communication systems face challenges in efficiently managing data prioritization for augmented reality (AR) and virtual reality (VR) applications, particularly in establishing communication sessions between devices, which can lead to delays and increased bandwidth usage due to the need for downloading universal prior models for avatar rendering.

Innovation Solution

The method involves a first wireless communication device requesting a temporary data boost from the core network to prioritize the download of a universal prior model from a server, using a downlink data burst indicator to ensure timely and efficient data transfer, thereby reducing session setup delays and bandwidth requirements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If data prioritization is implemented for AR/VR applications, then session setup time is reduced, but network complexity increases

Engineering Contradiction:
Improvesession setup timeVSAvoidnetwork complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent changes the parameter of data prioritization by introducing a temporary data boost indicator that dynamically adjusts packet priority based on whether the packet is part of a model download. This allows the network to switch between normal and prioritized handling modes, reducing session setup time while maintaining manageable network complexity through parameter-based control rather than structural changes.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If temporary data boost is applied to model downloads, then bandwidth efficiency improves, but data transmission control complexity increases

Engineering Contradiction:
Improvebandwidth efficiencyVSAvoiddata transmission control complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by establishing the temporary data boost indicator and priority handling rules before the model download begins. The network is pre-configured to recognize and prioritize packets containing this indicator, allowing efficient bandwidth utilization during model retrieval without requiring complex real-time control decisions during data transmission.

Inventive Principle:
Principle #10Preliminary action

3Speed

If packet prioritization is implemented for model data, then download speed increases, but network resource management complexity increases

Engineering Contradiction:
Improvedownload speedVSAvoidnetwork resource management complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The patent applies local quality by implementing prioritization only for specific packets containing the temporary data boost indicator, rather than applying uniform prioritization to all traffic. This localized approach allows download speed to increase for model data while keeping network resource management complexity manageable by affecting only relevant traffic flows.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250106290A1Systems and methods for supporting temporary data boost
Publication Date: 2025.03.27 META PLATFORMS TECHNOLOGIES LLC
  • US20250106290A1 patent drawing
  • US20250106290A1 patent drawing
  • US20250106290A1 patent drawing

AI summary

Systems and methods for supporting a temporary data boost include a first wireless communication device which receives a signal from a second wireless communication device. The signal can include information for obtaining a model from a server used by the first wireless communication device to generate an avatar associated with a user of the second wireless communication device. The first wireless communication device can transmit a request to retrieve the model from the server, where the request identifies a data size of the model and an address of the server. The first wireless communication device may receive, via the core network from the server, data corresponding to the model from the server, where the data is prioritized by the core network according to the request.