XR-Assisted Beam Management for Proactive mmWave Handover
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Solution Overview
Problem
Existing radio resource management systems struggle to efficiently allocate resources in extended reality (XR) environments, where dynamic and immersive user interactions create challenges for seamless connectivity and optimal data transmission.
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 beam selection and connectivity management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional radio resource management methods are used, then system complexity remains low, but connectivity reliability and resource allocation efficiency deteriorate in XR environments
Solution Approach 1:
The patent segments the beam selection process into multiple stages: initial beam candidates are identified using XR sensing capabilities (visual, auditory, tactile sensors), then filtered and selected based on RF measurements and network conditions. This segmentation allows the system to achieve high reliability through comprehensive sensing while managing complexity by processing information in structured phases rather than monolithically.
Solution Approach 2:
The system performs preliminary XR sensing and environmental characterization before final beam selection. By pre-processing sensor data (cameras, microphones, sensors) to identify potential blockages and optimize spatial awareness, the system prepares connectivity information in advance, improving reliability without requiring complex real-time computation during the actual connection establishment.
2Measurement precision
If XR sensing capabilities are integrated for enhanced beam selection, then beam selection accuracy improves, but device complexity increases
Solution Approach 1:
The patent merges multiple sensing modalities (visual from cameras, auditory from microphones, tactile from sensors) into a unified XR sensing framework that feeds into the beam selection process. By combining these diverse sensor types and processing their data together, the system achieves superior beam selection accuracy through multi-dimensional environmental awareness while managing complexity through integrated processing rather than separate independent systems.
Solution Approach 2:
The XR sensing framework serves multiple functions simultaneously: environmental mapping, blockage detection, spatial awareness, and connectivity optimization. This multi-functionality allows the system to achieve high measurement precision for beam selection without proportionally increasing device complexity, as the same sensing infrastructure supports multiple purposes rather than requiring dedicated systems for each function.
3Reliability
If dynamic beam management is implemented for seamless connectivity, then connectivity quality improves, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary XR sensing and environmental characterization before final beam selection. By pre-processing sensor data (cameras, microphones, sensors) to identify potential blockages and optimize spatial awareness, the system prepares connectivity information in advance, improving reliability without requiring complex real-time computation during the actual connection establishment.
Solution Approach 2:
The patent implements dynamic beam management that adapts to changing XR environments in real-time. The system continuously monitors XR session status, user movement, and environmental changes, dynamically adjusting beam selection and resource allocation. This dynamic approach maintains high connectivity quality by responding to changes as they occur rather than requiring comprehensive re-evaluation, thus balancing performance with processing time.
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.


