Radio Sensing Beam Identification Through UE Suitability Reports
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Solution Overview
Problem
The identification of appropriate UE nodes and beams for radio sensing tasks in wireless communication systems is challenging due to limited UE computation, memory storage, energy resources, synchronization precision, and non-deterministic location/observability, especially in scenarios requiring UE-based or UE-assisted sensing.
Innovation Solution
A dedicated measurement and reporting framework is introduced for UE suitability determination and beam identification, including criteria for line of sight/non-line of sight reception, UE stationarity, and resource pool utilization for sensing suitability measurements, enabling the identification of suitable UE nodes and associated beams for sensing participation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If UE performs radio sensing suitability measurements and reports to network nodes for beam identification, then the accuracy of UE node and beam selection is improved, but the UE computation and energy resources are consumed
Solution Approach 1:
The network node performs beam identification and suitability determination before assigning sensing tasks to UEs. By pre-configuring measurement parameters and evaluating UE capabilities in advance, the system avoids unnecessary measurements and reduces UE energy consumption while maintaining selection accuracy.
Solution Approach 2:
The system implements a feedback mechanism where UEs report measurement results and suitability assessments to network nodes. This feedback loop enables the network to make informed decisions about UE selection and beam configuration, improving accuracy while optimizing resource allocation to minimize UE energy consumption.
2Reliability
If the network configures multiple measurement parameters for radio sensing suitability, then the reliability of sensing task assignment is improved, but the device complexity increases
Solution Approach 1:
The measurement configuration is segmented into multiple independent parameters (e.g., signal strength, quality, availability) that can be evaluated separately. This segmentation allows the network to manage complexity by processing each parameter independently and combining results systematically, maintaining reliability while reducing overall complexity.
Solution Approach 2:
The measurement framework is designed to be universal, accommodating multiple sensing scenarios and UE types through a single standardized configuration mechanism. This multi-functionality reduces device complexity by avoiding scenario-specific configurations while maintaining high reliability through comprehensive parameter coverage.
3Measurement precision
If the system evaluates UE stationarity and location observability for sensing participation, then the accuracy of sensing measurements is improved, but the synchronization precision requirements increase
Solution Approach 1:
The network node evaluates UE stationarity and location observability in advance before assigning sensing tasks. By performing this assessment preliminarily and configuring appropriate measurement parameters based on the evaluation results, the system achieves high measurement accuracy without requiring extremely tight synchronization precision during actual sensing operations.
Data Source
AI summary
Various aspects of the present disclosure relate to techniques for beam identification for radio sensing participation. A UE is configured to receive a first configuration for performing and reporting radio sensing suitability measurements for radio sensing assistance associated with a radio sensing task, perform radio sensing suitability measurements for a radio sensing scenario according to the first configuration to determine whether the UE is suitable for providing the radio sensing assistance associated with the radio sensing task, transmit a suitability report comprising the performed radio sensing suitability measurements according to the first configuration, and receive a second configuration for performing radio sensing operations.