VR Data Transmission Frequency Adjustment for Latency and Collision Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless virtual reality/alternate reality systems face latency issues due to encoding, decoding, and network transmission processes, which also lead to collisions between device transmissions, causing increased latency and potential system instability.
Innovation Solution
A method and system that capture and transmit data batches between devices, with adjustments made to transmission frequency based on collision determinations, utilizing pose prediction and adaptive frequency adjustment to reduce latency and collisions, thereby optimizing communication in VR systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data is transmitted frequently between devices, then latency is reduced, but collision probability increases
Solution Approach 1:
The system dynamically adjusts the transmission frequency of pose data based on real-time collision probability assessments. When collision probability is high, transmission frequency is reduced; when low, frequency is increased. This dynamic adaptation resolves the contradiction by making the transmission strategy flexible rather than fixed.
Solution Approach 2:
The system implements a feedback mechanism where transmission decisions are based on monitored collision patterns and latency measurements. The controller adjusts transmission frequency in response to feedback about system performance, thereby optimizing the balance between latency reduction and collision avoidance.
2Speed
If transmission frequency is increased to reduce latency, then system responsiveness improves, but network congestion and collisions worsen
Solution Approach 1:
The system changes the transmission parameter (frequency) based on system conditions. Instead of using a fixed high frequency that causes congestion, the frequency is adjusted as a variable parameter in response to network conditions and collision patterns, maintaining responsiveness while avoiding congestion.
Solution Approach 2:
The transmission frequency transitions from a static parameter to a dynamic one that adapts to network conditions. The system monitors network state and adjusts frequency accordingly, allowing high frequency when network capacity is available and reducing frequency when congestion is detected.
3Reliability
If collision detection and avoidance mechanisms are implemented, then system reliability improves, but device complexity increases
Solution Approach 1:
The system performs self-monitoring and self-adjustment regarding transmission frequency. The controller automatically detects collision patterns and adjusts its own transmission behavior without requiring complex external control systems, thereby improving reliability while limiting complexity growth.
Solution Approach 2:
A feedback loop is established where the system monitors its own transmission performance and collision patterns, then automatically adjusts transmission frequency in response. This self-regulating feedback mechanism provides reliable collision avoidance without requiring overly complex external control infrastructure.
Data Source
AI summary
A method and apparatus for reducing latency in a virtual reality system including a plurality of devices comprises capturing and transmitting, by a first device, a first batch of data to a second device. The second device renders and encodes a second data based upon the first batch of data, and transmits the first encoded image to the first device. Based upon a determination of a likelihood of collision between a transmission of a second batch of data from the first device and the transmission of the second data, the first device adjusts a frequency of capturing and transmitting the second batch of data.


