Dynamic Sensing Configuration for RF Resource Efficiency
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Solution Overview
Problem
In RF-based sensing in wireless networks, existing technologies face inefficiencies in resource utilization and power management, as User Equipment (UE) often budgets for multiple sensing tasks, leading to underutilization of sensing occasions, especially when transitioning between tasks like object detection and tracking.
Innovation Solution
The UE dynamically configures a second sensing configuration for specific tasks, indicating unused sensing occasions to other devices, allowing these resources to be reused for other tasks or communication, thereby increasing resource utilization and power efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE budgets sensing signal occasions for multiple different sensing tasks, then the sensing tasks can be performed with desired performance, but the sensing occasions are underutilized when transitioning between tasks
Solution Approach 1:
The UE dynamically adjusts the sensing configuration by determining a second sensing configuration that specifies a subset of sensing signal occasions for a certain sensing task, allowing the system to adapt resource allocation based on actual task requirements rather than using a fixed budgeted configuration
Solution Approach 2:
The UE identifies and discards unused sensing signal occasions from the budgeted set, then recovers these resources by indicating them to other UEs or gNBs for alternative uses, thereby eliminating waste while maintaining sensing task performance
2Device complexity
If the UE maintains a fixed sensing configuration for multiple tasks, then resource allocation is simplified, but power efficiency decreases due to continuous monitoring of all budgeted occasions
Solution Approach 1:
The sensing configuration is segmented into a first set of budgeted sensing signal occasions and a second set of actually used occasions, allowing the UE to separate and independently manage resources based on specific task requirements
Solution Approach 2:
The UE discards the configuration overhead for unused sensing occasions by identifying them as a subset and indicating them for other uses, reducing the power consumption associated with monitoring and processing unnecessary sensing signal occasions
3Reliability
If the UE allocates sensing resources for all possible sensing tasks, then task performance is ensured, but resource utilization efficiency deteriorates when not all tasks are active
Solution Approach 1:
The sensing signal occasions are designed to serve multiple purposes: they can be used for the UE's own sensing tasks or indicated to other UEs and gNBs for their sensing needs, making the resources universal and adaptable to different users' requirements
Solution Approach 2:
When sensing occasions are not needed for the UE's current tasks, they are discarded from the UE's configuration and recovered by being indicated to other entities, ensuring that resources are continuously utilized productively rather than remaining idle
Data Source
AI summary
An example method of radio frequency (RF) sensing performed by a User Equipment (UE) may comprise obtaining a first sensing configuration accommodating multiple different sensing tasks that may be performed by the UE, wherein according to the first sensing configuration, a first set of sensing signal occasions within a sensing signal period are budgeted for performing the RF sensing. The method may comprise determining a second sensing configuration for a certain sensing task, wherein according to the second sensing configuration, a sensing subset comprising a subset of the first set of sensing signal occasions is configured for performing the certain sensing task. The method may further comprise performing the certain sensing task in accordance with the second sensing configuration.