Cellular Measurement Reports for Merging RF Sensing and Positioning
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Solution Overview
Problem
Existing systems face challenges in efficiently combining radio frequency (RF) sensing and cellular positioning due to limited bandwidth for reporting both types of measurements, necessitating a method to prioritize and manage RF sensing and positioning measurements effectively.
Innovation Solution
A method and device are described to generate combined or separate measurement reports that include both RF sensing and positioning measurements, with prioritization based on quality, latency, and specific use cases, using existing infrastructure for both types of sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If both RF sensing measurements and positioning measurements are reported separately, then measurement accuracy and completeness are improved, but bandwidth consumption increases
Solution Approach 1:
The patent combines RF sensing measurements and positioning measurements into a single unified measurement report structure. This merging allows both types of measurements to be transmitted together, improving measurement completeness while optimizing bandwidth utilization through shared reporting mechanisms and common measurement configurations.
Solution Approach 2:
The measurement report structure is designed to serve multiple functions simultaneously - it can carry both RF sensing measurements (for obstacle detection, mapping) and positioning measurements (for location determination). This multi-functional report structure eliminates the need for separate reporting channels, reducing overall bandwidth consumption while maintaining measurement accuracy.
2Productivity
If measurement reporting bandwidth is increased, then reporting capacity for both RF sensing and positioning measurements is improved, but system complexity increases
Solution Approach 1:
The measurement report is segmented into distinct sections for RF sensing measurements and positioning measurements, with optional inclusion of both. This segmentation allows the system to flexibly adjust reporting capacity based on needs while maintaining a manageable report structure that doesn't excessively increase system complexity.
Solution Approach 2:
The measurement report structure is designed to be dynamic and configurable, allowing the network to selectively include or exclude specific measurement types based on current service requirements. This dynamic configuration enables flexible reporting capacity adjustment without permanently increasing system complexity.
3Reliability
If RF sensing measurements are prioritized over positioning measurements, then obstacle avoidance application performance is improved, but positioning accuracy may be delayed
Solution Approach 1:
The system performs preliminary prioritization of measurements based on configured service requirements before report generation. By pre-configuring measurement priorities for different service types (e.g., obstacle avoidance vs. positioning), the system can quickly generate appropriate reports without real-time decision delays, ensuring both obstacle avoidance performance and positioning accuracy are maintained.
Data Source
AI summary
A device is configured to perform positioning sessions and radio frequency (RF) sensing sessions in a cellular network. The positioning sessions may be previously defined positioning sessions, in which a device uses reference signals (RSs) to generate positioning measurements. RF sensing sessions may be defined sessions using the existing infrastructure for positioning sessions in order to generate RF sensing measurements. With the device to report both the positioning measurements and the RF sensing measurements, the device may adjust a previously defined measurement report for positioning measurements to also include RF sensing measurements, or the device may generate newly defined measurement reports to include the RF sensing measurements. The device may also prioritize reporting the positioning measurements and the RF sensing measurements, which may be based on a latency requirement of the different measurements, a quality of the measurements, or a use case of the device.