XR-Assisted Beam Management for Proactive mmWave Handover
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radio resource management systems struggle to efficiently manage wireless communication resources in extended reality (XR) environments, leading to suboptimal performance and user experience due to challenges in beam selection and connectivity management.
Innovation Solution
Implementing extended reality-assisted radio resource management methods that utilize XR sensing, such as visual sensing and RF measurements, to determine and select optimal beams and connectivity nodes, enhancing the communication system's efficiency and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional radio resource management methods are used, then system complexity is reduced, but beam selection performance and connectivity management in XR environments deteriorates
Solution Approach 1:
The system performs preliminary actions by utilizing XR sensing data (visual sensing, depth sensing, inertial measurement) to predict future blockages and proactively select beams before connectivity degradation occurs. This allows the system to prepare optimal beam paths in advance based on predicted user movement and environmental obstacles, improving reliability without requiring complex real-time reconfiguration.
Solution Approach 2:
XR sensing data acts as an intermediary that bridges traditional RRM methods and beam selection. The visual sensing, depth sensing, and inertial measurement data provide additional spatial and temporal context that enhances conventional RF measurement-based beam management, enabling better connectivity predictions without fundamentally overhauling the existing RRM architecture.
2Productivity
If XR sensing is integrated into RRM, then connectivity management performance improves, but processing requirements and system complexity increases
Solution Approach 1:
The XR sensing system serves multiple functions simultaneously: it provides spatial awareness for beam selection, predicts user movement for proactive connectivity management, identifies environmental obstacles for blockage avoidance, and enables enhanced quality of experience measurements. This multi-functionality allows a single integrated system to deliver multiple benefits without proportionally increasing processing complexity.
Solution Approach 2:
The system leverages data already being collected by XR headsets for their primary function (spatial awareness and rendering) and repurposes this data for radio resource management. The inertial measurement units and sensors required for XR functionality also provide the motion tracking data needed for beam prediction, eliminating the need for separate dedicated sensing hardware and reducing overall system complexity.
3Reliability
If proactive beam selection based on XR sensing is implemented, then user experience in XR environments improves, but measurement and detection complexity increases
Solution Approach 1:
The system merges multiple sensing modalities (visual sensing, depth sensing, inertial measurement) that are already integrated in XR headsets into a unified connectivity management approach. By combining these existing sensors and their data processing pipelines with RF measurement systems, the solution achieves enhanced beam selection capability without requiring separate complex detection systems for each sensing type.
Data Source
AI summary
Extended Reality (XR) applications may require high throughput and very low latency. New Radio (NR) Wireless receiver/transmitter units (WTRUs) running XR applications (XR-WTRUs) may be confronted with link failures when these applications are used in dense urban or indoor environments because of these devices operating in the millimeter band. Methods and devices are provided therefore for performing cell selection and beam management proactively to avoid link failure due to objects being in line of sight between the XR-WTRU and a network node with which it has established a connection. XR-WTRUs may therefore perform visual sensing that may enable visualizing current and future radio environment and using this information to prevent link failures by handing the XR-WTRU over to an alternative network node in line of sight of the XR-WTRU before the XR-WTRU is no longer in line of sight of the network node with which it has established a connection.