RF-S Coverage Maps for Wireless Sensing Tracking
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Solution Overview
Problem
Current wireless communication systems face challenges in providing seamless and efficient radio frequency sensing (RF-S) coverage, especially in tracking target objects across wide regions, due to varying coverage areas and resource allocation limitations.
Innovation Solution
The proposed solution involves generating a RF-S coverage map based on the coverage areas of multiple RF-S nodes, including user equipment (UE), repeaters, and reconfigurable intelligent surfaces (RIS), to define regions where RF-S quality thresholds are met, and optimizing network resource allocation for improved RF-S operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If RF-S nodes are deployed to cover wide regions for tracking target objects, then the coverage area is improved, but the network resource allocation becomes more complex and coverage holes may still exist
Solution Approach 1:
The patent divides the wide coverage area into multiple tracking areas, each served by a specific group of RF-S nodes. This segmentation allows the network to manage large coverage regions by treating them as multiple manageable units, reducing the complexity of resource allocation across the entire area while maintaining comprehensive coverage.
Solution Approach 2:
The patent performs preliminary actions by pre-configuring RF-S coverage maps that define valid regions for RF-S operations before actual tracking begins. These maps are generated in advance based on node capabilities and coverage areas, allowing the network to efficiently allocate resources and manage tracking operations without real-time complexity.
2Reliability
If RF-S coverage maps are generated to define regions with quality thresholds, then the RF-S operation reliability is improved, but the system complexity increases
Solution Approach 1:
The patent generates RF-S coverage maps in advance that pre-defined regions where quality thresholds are satisfied. This preliminary generation of coverage maps with embedded quality information allows the system to ensure reliable RF-S operations without adding complexity during actual operation, as the reliability criteria are already built into the map structure.
Solution Approach 2:
The patent creates a simplified representation (copy) of the RF-S coverage characteristics in the form of coverage maps that capture essential quality threshold information. This mapping approach allows the system to manage complexity by working with abstracted, pre-processed coverage data rather than raw, complex node information during RF-S operations.
3Measurement precision
If multiple RF-S nodes including UEs, repeaters, and RIS are grouped for tracking, then the tracking accuracy across wide regions is improved, but the grouping and configuration complexity increases
Solution Approach 1:
The patent segments RF-S nodes into specific groups associated with different tracking areas, where each group is optimized for tracking objects within its designated region. This segmentation enables high tracking accuracy across wide regions by assigning appropriate nodes to appropriate areas, while reducing configuration complexity through standardized group assignments.
Solution Approach 2:
The patent establishes that RF-S nodes can serve multiple functions and be configured for different tracking scenarios. UEs, repeaters, and RIS can all function as RF-S nodes capable of tracking target objects, providing multi-functionality that improves tracking accuracy while managing complexity through unified node treatment and configuration protocols.
Data Source
AI summary
Disclosed are techniques for wireless communication. Aspects of the disclosure are directed to a radio frequency sensing (RF-S) coverage map based on RF-S coverage areas associated with multiple RF-S nodes. Other aspects of the disclosure are directed to grouping of RF-S nodes, where one or more of the grouped RF-S nodes include non-gNB RF-S nodes.