UE XR Orientation-Based Beam Prediction
Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing beams for user equipment (UE) in extended reality (XR) applications, particularly in scenarios where the UE's orientation changes, leading to potential degradation in communication performance.
Innovation Solution
The method involves obtaining orientation information associated with the UE, predicting its future orientation, and transmitting an indication of a beam associated with this predicted orientation to the base station. The UE then receives an updated beam or measurement configuration based on this indication, allowing it to proactively change beams and maintain optimal communication performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE uses traditional beam management without orientation prediction, then the system complexity is low, but the communication performance degrades when UE orientation changes
Solution Approach 1:
The UE predicts its future orientation based on current orientation information and sensor data before the actual orientation change occurs. This preliminary prediction allows the UE to proactively indicate the predicted beam to the base station, ensuring communication performance is maintained during orientation changes without waiting for degradation to occur.
Solution Approach 2:
The system implements a feedback mechanism where the UE continuously provides orientation information from sensors (accelerometer, gyroscope, magnetometer) to the base station. The base station uses this feedback to update beam configurations, creating a closed-loop system that adapts to UE orientation changes in real-time.
2Reliability
If the UE frequently updates beam indications to maintain performance during orientation changes, then the communication reliability improves, but the signaling overhead increases
Solution Approach 1:
Instead of continuously updating beam indications, the UE uses partial updates by only indicating beams when orientation changes are predicted. The prediction mechanism filters out minor fluctuations and only triggers beam indication updates when significant orientation changes are anticipated, reducing unnecessary signaling while maintaining performance.
Solution Approach 2:
The UE performs preliminary orientation prediction and only initiates beam indication updates when the predicted orientation change exceeds a threshold. This preliminary assessment prevents excessive signaling by anticipating which orientation changes will actually impact communication performance.
3Productivity
If the UE responds reactively to orientation changes, then the system operation is simple, but the latency increases and throughput decreases
Solution Approach 1:
The UE uses sensor data (accelerometer, gyroscope, magnetometer) to predict future orientation before the actual change occurs. This preliminary prediction allows the system to prepare and switch beams proactively, reducing latency and maintaining throughput during orientation transitions without complex reactive control mechanisms.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may obtain orientation information associated with the UE. The orientation information may indicate a rotational movement of the UE. The UE may transmit an indication of a beam associated with a predicted orientation of the UE, wherein the predicted orientation of the UE is based at least in part on the orientation information. The UE may receive an updated beam or measurement configuration based at least in part on the indication. Numerous other aspects are described.