XR Antenna and Beam Switching with Predictive Orientation Tracking
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Solution Overview
Problem
Current antenna switching and beam switching techniques in wireless communications systems, particularly for extended reality (XR) applications, suffer from high latency and long blanking times, which hinder the provision of immersive user experiences due to insufficient predictive capabilities.
Innovation Solution
Implement predictive tracking using inertial measurement unit (IMU) and electromyography (EMG) sensors to anticipate the future position and orientation of user equipment (UE), allowing for earlier preparation of antenna and beam switching configurations, thereby reducing latency and blanking times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If current antenna switching and beam switching techniques are used, then the wireless communications system can maintain basic connectivity, but high latency and long blanking times occur which hinder immersive user experiences in XR applications
Solution Approach 1:
The patent applies preliminary action by using predictive tracking to forecast the UE's future position and orientation before actual switching occurs. The system pre-configures antenna and beam switching parameters based on predicted movement, allowing the switching to execute instantly when the predicted position is reached, thereby eliminating latency and blanking times while maintaining high-quality XR user experience
2Loss of time
If predictive tracking using IMU and EMG sensors is implemented, then latency and blanking times are reduced, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The patent applies universality by leveraging IMU and EMG sensors that may already be present in XR headsets for other functions such as motion tracking, user interaction detection, and display rendering. By reusing these existing sensors for predictive tracking of antenna and beam switching, the system avoids adding dedicated hardware complexity while still achieving reduced latency through predictive algorithms processed by the existing sensor fusion pipeline
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for predictive tracking for antenna switching and beam switching in extended reality. A method for wireless communication by a user equipment (UE) includes collecting data using one or more sensors; predicting a future orientation and position of the UE based on the collected data; preparing a configuration of the UE for at least one of antenna switching or beam switching in response to the predicted future orientation and position of the UE; and performing the at least one of the antenna switching or beam switching, using the prepared configuration of the UE, in response to a detected current orientation and position of the UE.