Sidelink Resource Allocation via UE-Assisted Sensing
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Solution Overview
Problem
Current 5G NR sidelink (SL) resource allocation methods face challenges in improving reliability and reducing latency for vehicle-to-everything (V2X) communications.
Innovation Solution
The proposed solution involves a receiving user equipment (UE)-assisted resource allocation mechanism, where the UE autonomously sends assistance information to a peer UE based on resource sensing results, including channel state information and preferred resources, to aid in resource selection and re-selection, thereby enhancing resource allocation and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional SL resource allocation methods are used, then the system is simpler to implement, but reliability is insufficient and latency is high
Solution Approach 1:
The receiving UE performs sensing operations in advance before the actual communication to identify preferred resources and determine assistance information. This preliminary sensing action enables the transmitting UE to make more informed resource selection decisions, improving reliability without requiring complex real-time coordination mechanisms.
Solution Approach 2:
The receiving UE provides feedback in the form of assistance information containing sensing results and preferred resource indications to the transmitting UE. This feedback mechanism enables the transmitting UE to adjust its resource selection based on actual channel conditions, thereby improving communication reliability through iterative optimization.
2Loss of time
If traditional SL resource allocation methods are used, then the implementation is simpler, but latency is high
Solution Approach 1:
By performing sensing operations in advance and preparing assistance information before the actual data transmission, the system eliminates the need for time-consuming real-time resource negotiation. This preliminary action significantly reduces the latency between resource selection and actual communication.
Solution Approach 2:
The receiving UE autonomously performs sensing operations and determines its own preferred resources without requiring continuous coordination or control from the transmitting UE. This self-service approach enables faster resource selection and reduces overall communication latency.
3Measurement precision
If resource sensing is performed by the receiving UE, then resource selection is more accurate, but information transmission requirements increase
Solution Approach 1:
The receiving UE extracts and transmits only the essential sensing results and preferred resource indications in the assistance information, rather than sharing all raw sensing data. This selective information transmission maintains measurement precision while minimizing the information overhead transmitted between UEs.
Solution Approach 2:
The assistance information is tailored to include only the specific sensing results and resource preferences relevant to the local communication scenario between the two UEs. This localized approach ensures that the transmitted information is both precise and efficiently sized for the specific communication context.
Data Source
AI summary
Various examples and schemes pertaining to enhancements for sidelink (SL) resource allocation in New Radio (NR) vehicle-to-everything (V2X) communications are described. A user equipment (UE) transmits to a peer UE assistance information with respect to a result of sensing of one or more resources reserved for a SL communication. The UE then receives a transmission from the peer UE on a resource selected by the peer UE based on the assistance information.