Motion Predictive Beamforming for VR Signal Reliability
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Solution Overview
Problem
Existing beamforming technologies struggle to maintain effective signal transmission with dynamically moving receivers, often resulting in loss of signal and reduced usability due to misguided beam focusing.
Innovation Solution
The implementation of motion predictive beamforming, which uses a rotational and positional determiner and a motion predictor to anticipate the future position of a virtual reality receiver, adjusting the beam's direction, energy, and time to ensure seamless transmission, even with rapidly moving devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming is used to focus wireless energy in a specific direction, then transmission quality is improved in that direction, but the receiving device may move outside the focused range causing signal loss
Solution Approach 1:
The system performs preliminary actions by predicting the future position of the receiving device before transmission occurs. The motion prediction module calculates where the device will be at the time of beam arrival, and the beam is proactively directed to this predicted location rather than the current position, ensuring the device remains within the focused energy range throughout its movement.
Solution Approach 2:
The system dynamically adapts the beam direction and focusing parameters based on real-time motion data. Instead of a static beam direction, the system continuously updates the beamforming parameters according to the predicted receiver trajectory, making the beamforming system dynamic and adaptive to moving devices.
2Reliability
If the transmitter continuously adjusts beam direction to follow moving receivers, then signal coverage is maintained, but system complexity increases
Solution Approach 1:
The system introduces a motion prediction module as an intermediary between the receiver tracking and beam direction control. This intermediary layer processes receiver position data, predicts future positions using motion models, and generates optimized beam direction commands, simplifying the overall control architecture while maintaining reliable signal coverage.
3Use of energy by moving object
If the beam is focused narrowly to improve signal strength, then transmission efficiency increases, but the receiver must be precisely positioned which is difficult with moving devices
Solution Approach 1:
The system performs preliminary position prediction to determine where the receiver will be when the beam arrives. By calculating the future position based on current motion data and predicting the receiver trajectory, the system can narrow the beam for high efficiency while still hitting the moving target accurately at the predicted location.
Data Source
AI summary
Methods, apparatus and systems for motion-predictive beamforming are disclosed. A method for motion predictive beamforming includes determining a time of a predicted transmission and determining a future position of a virtual reality (VR) receiving device at the time of the predicted transmission. Beamforming parameters are forwarded wireless system that correspond to the future position of the VR receiving device, the time of the predicted transmission, and an error correction margin to cause a transmission of a beam that is formed based on the future position of the VR receiving device, the time of the predicted transmission, and the error correction margin.