Sidelink Resource Reservation Prediction With Partial Sensing Windows
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Solution Overview
Problem
Existing wireless communication systems face significant power consumption issues for battery-operated user devices, particularly pedestrian UEs, due to the need to constantly sense the entire sidelink pool for resource allocation, which quickly drains the device's battery.
Innovation Solution
Implementing a reduced sensing approach where user devices only sense one or more subsets of time resources within a sidelink pool, referred to as short sensing windows (SSWs), allowing them to predict resource reservations and power down during non-sensing intervals, thereby reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user devices constantly monitor the entire sidelink pool to carry out sensing operations, then resource selection reliability is improved, but power consumption increases
Solution Approach 1:
The patent divides the sensing window into multiple subsets (first subset, second subset, third subset) and processes control information from different subsets separately. This segmentation allows the device to identify resource reservations from partial sensing data rather than requiring complete monitoring of all time resources, thus reducing power consumption while maintaining reliable resource selection
Solution Approach 2:
The patent implements partial sensing by only monitoring a portion of the sidelink pool resources at any given time through the use of multiple sensing subsets. The device can select resources based on partial sensing results without needing to sense the entire resource pool, achieving acceptable reliability with reduced energy expenditure
2Measurement precision
If user devices monitor all time resources in the sidelink pool, then detection accuracy of occupied resources is improved, but battery life decreases
Solution Approach 1:
The sensing window is divided into multiple subsets that can be monitored at different times. By processing control information from these segmented subsets, the device achieves adequate detection accuracy for resource selection without the need to continuously monitor all time resources, thereby extending battery life
Solution Approach 2:
The device performs sensing operations periodically on different subsets of time resources rather than continuously monitoring all resources. This periodic sensing approach maintains sufficient detection accuracy for resource reservation identification while significantly reducing power consumption and extending battery operation
3Use of energy by moving object
If user devices carry out sensing on subsets of time resources only, then power consumption is reduced, but resource selection accuracy may be compromised
Solution Approach 1:
By dividing the sensing window into multiple subsets and processing control information from each subset, the device can identify resource reservations through partial sensing data. This segmentation strategy maintains resource selection accuracy by aggregating information from multiple subsets rather than relying on a single subset
Solution Approach 2:
The device processes control information from multiple sensing subsets and uses this feedback to make informed resource selection decisions. The accumulated information from different subsets provides sufficient accuracy for resource selection while keeping individual sensing operations brief and energy-efficient
Data Source
AI summary
A user device, UE, for a wireless communication network is described. The wireless communication network provides a set of resources for a communication, and the UE carries out sensing on one or more subsets of time resources of the set of resources. A number of time resources of the one or more subsets is less than the total number of resources within the set of resources provided by the network.