Wireless Resource Coordination Using Sensing and Priority Thresholds
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Solution Overview
Problem
The existing NR SL in 5G V2X systems face challenges in resource collisions and continuous interference due to user equipment independently selecting resources, leading to inefficiencies and increased latency.
Innovation Solution
A method for inter-user coordination in wireless communication systems that involves channel sensing and priority-based resource allocation, using signaling to determine candidate resource pools, reducing resource collisions and interference without increasing signaling overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user equipment independently selects resources in distributed NR SL system, then device complexity is reduced and ease of operation is improved, but resource collisions and continuous interference occur leading to worsened reliability and increased latency
Solution Approach 1:
The system performs preliminary channel sensing before resource selection to identify and avoid resources occupied by other UEs. This preliminary detection action prevents resource collisions before they occur, resolving the contradiction between independent resource selection and reliability.
Solution Approach 2:
The system implements feedback mechanisms where UEs share sensing results and resource selection information with other UEs. This feedback enables coordinated resource selection that reduces collisions while maintaining the distributed autonomous nature of the system.
2Reliability
If inter-UE coordination is enhanced to solve resource collision, then reliability is improved, but signaling overhead and latency requirements increase
Solution Approach 1:
The patent extracts only the essential coordination information needed for collision avoidance from the full set of possible signaling data. By transmitting only critical sensing results and resource selection indicators rather than complete channel state information, the system achieves coordination with reduced signaling overhead.
Solution Approach 2:
The system implements partial coordination where UEs exchange limited sensing information rather than full channel state information. This partial action approach provides sufficient coordination to reduce collisions while avoiding the excessive signaling overhead that would result from complete information exchange.
3Measurement precision
If channel sensing is performed on all resources, then measurement precision is improved for resource selection, but processing time and complexity increase
Solution Approach 1:
The system segments the resource pool into multiple sensing subsets and performs channel sensing selectively on representative samples from each subset rather than all resources. This segmentation approach maintains measurement precision for resource selection while significantly reducing the total sensing processing time.
Solution Approach 2:
The system performs partial channel sensing on a selected subset of resources rather than exhaustive sensing of all available resources. This partial sensing approach provides sufficient measurement precision for making good resource selection decisions while avoiding the excessive time cost of complete sensing.
Data Source
AI summary
Present application provides a method and device in a node for wireless communications. A first node receives a first signaling; executes channel sensing in a first resource pool; and transmits a third signaling; any first-type time-frequency resource block in the first resource pool occupies L frequency-domain resource unit(s) in frequency domain; the first signaling indicates L and a first priority; a first time-frequency resource block has an overlapping with time-frequency resources occupied by a first reference signal; the first priority and the second priority are used together to determine a first threshold; a measurement performed on the first reference signal and the first threshold are used together to determine whether a second time-frequency resource block belongs to a first candidate resource pool, and the second time-frequency resource block is associated with the first time-frequency resource block. The present application effectively implements inter-user coordination, which avoids continuous interference between users.