User Equipment Resource Selection with Sensing and Occupancy Detection
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Solution Overview
Problem
There is an urgent need to reduce collisions between User Equipments (UEs) in resource selection and data transmission in wireless communication systems, particularly in 5G communication systems, to enhance the reliability of data transmission.
Innovation Solution
A method for data transmission that involves detecting scheduling assignments (SA) for other UEs within a sensing window, selecting resources based on the detected SA, and determining whether the selected resources are occupied before data transmission, using a Listen-Before-Talk (LBT) mechanism to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If UE autonomously selects resources for data transmission without occupying detection, then resource selection flexibility is improved, but collision probability between UEs increases
Solution Approach 1:
The UE performs sensing operations in advance during a sensing window to detect SAs from other UEs and identify available resources before selecting resources for data transmission. This preliminary detection action allows the UE to make informed resource selection decisions, reducing collision probability while maintaining selection flexibility.
Solution Approach 2:
The UE uses detection results from sensing operations as feedback to adjust its resource selection. By monitoring SAs from other UEs and evaluating resource availability based on this feedback, the UE can dynamically select resources that are less likely to cause collisions, thus improving reliability while maintaining autonomous selection capability.
2Measurement precision
If UE performs sensing operation for all resources, then resource selection accuracy is improved, but processing complexity increases
Solution Approach 1:
The sensing window is divided into multiple time units (TUs), and the UE performs sensing operations selectively on specific TUs rather than uniformly on all resources. This segmentation approach allows the UE to focus processing efforts on critical time periods, improving resource selection accuracy while reducing overall processing complexity.
Solution Approach 2:
The UE performs sensing operations on a partial set of resources that are most critical for collision avoidance, rather than exhaustively sensing all possible resources. By applying partial action to the most important time units, the UE achieves sufficient resource selection accuracy without the full processing burden of comprehensive sensing.
Data Source
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AI summary
An embodiment of the present disclosure provides a method performed at a UE for data transmission. The method includes: detecting a scheduling assignment(SA) for other UEs within a sensing window which includes a plurality of time units(TUs); selecting, based on the detected SA, a set of resources for data transmission; determining, before transmitting data on a resource in the selected set of resources, whether the resource is occupied; and transmitting the data on the resource in the selected set of resources if it is determined that the resource is not occupied. An embodiment of the present disclosure also provides a corresponding UE.