Adaptive Sensing Window Selection for Low-Power UE Resource Sensing
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Solution Overview
Problem
In pedestrian-to-vehicle (P2V) communications, the continuous sensing of resource status by user equipment (UE) for different reservation intervals leads to high power consumption due to the need to perform sensing in multiple fixed sensing windows, resulting in inefficient resource selection and increased power usage.
Innovation Solution
The UE determines parameter information for a sensing window, including start time and duration, based on resource usage status, such as congestion level and reservation intervals, to adaptively sense and select resources, reducing the need for fixed sensing windows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If UE performs sensing in multiple fixed sensing windows for different reservation intervals, then resource selection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent applies dynamics by making the sensing window configuration adaptive rather than fixed. The network configures sensing window parameters (start time, length, quantity) dynamically based on UE capability information and service requirements. This allows the sensing mechanism to adapt to different scenarios, maintaining resource selection accuracy while optimizing power consumption by avoiding unnecessary sensing in fixed windows.
Solution Approach 2:
The patent changes key parameters of the sensing window (start time, duration, quantity of windows) based on UE capability feedback and service type. By adjusting these parameters dynamically, the system achieves resource selection accuracy comparable to multiple fixed sensing windows while reducing overall sensing overhead and power consumption.
2Reliability
If UE continuously senses resource status for different reservation intervals, then resource availability is improved, but power consumption increases
Solution Approach 1:
The patent implements partial sensing by configuring UE to sense only a specific quantity of sensing windows rather than continuously monitoring all possible reservation intervals. The network determines the optimal number of sensing windows based on service requirements and UE capability, allowing partial sensing that maintains resource availability while significantly reducing power consumption compared to continuous sensing.
3Ease of operation
If UE performs sensing in fixed sensing windows, then sensing simplicity is improved, but adaptability to different service requirements deteriorates
Solution Approach 1:
The patent creates a universal sensing mechanism that can adapt to different service types (e.g., P2V, V2V) and UE capabilities through network-configurable parameters. The same sensing framework serves multiple functions by adjusting sensing window start time, length, and quantity based on service requirements, maintaining simplicity while achieving broad adaptability.
Data Source
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AI summary
Embodiments of the present invention relate to a resource selection method, an apparatus, and a device. The method includes: determining, by first user equipment UE, parameter information of a sensing window, where the parameter information includes at least one of a start time, a time span, or a quantity; and sensing, by the first UE, the resource in the sensing window according to the parameter information of the sensing window, and selecting a resource according to a sensing result. According to the resource selection method, the apparatus, and the device provided in the embodiments of the present invention, power consumption of UE can be reduced.