5G NR V2X Resource Re-Selection and Pre-emption Mechanism
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Solution Overview
Problem
Existing 5G NR V2X communication systems face challenges in efficiently managing resource re-selection and pre-emption for reliable and low-latency packet delivery in vehicle-to-everything (V2X) applications.
Innovation Solution
The system and method involve an apparatus in a user equipment (UE) that autonomously selects resources for transmission and retransmission of transport blocks over sidelink, using a candidate resource set and resource selection windows, and implements a resource reservation scheme and pre-emption mechanism to ensure efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous resource selection is implemented in 5G NR V2X systems, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The resource selection process is segmented into distinct phases: sensing phase where UEs monitor and collect resource status information, selection phase where candidate resources are identified based on sensing results, and reservation phase where specific resources are allocated for transmission. This segmentation reduces system complexity by breaking down the autonomous resource selection into manageable, standardized steps while maintaining high allocation efficiency.
Solution Approach 2:
UEs perform preliminary sensing and resource assessment actions before actual transmission occurs. The sensing phase collects information about channel conditions, other V2X users, and resource availability in advance, allowing the selection algorithm to make informed decisions without real-time complexity. This preliminary action enables efficient resource allocation while reducing the computational burden during critical transmission moments.
2Reliability
If resource pre-emption mechanisms are added to ensure reliability, then packet delivery reliability is improved, but latency increases
Solution Approach 1:
The resource pre-emption mechanism is designed to be dynamic rather than static. Pre-emption is only triggered when specific conditions are met, such as when a high-priority packet arrives and existing resource allocations cannot accommodate it. The mechanism dynamically adjusts resource allocations based on real-time traffic priorities and channel conditions, ensuring high reliability for critical packets while minimizing unnecessary pre-emption events that would increase latency.
Solution Approach 2:
The system changes key parameters such as pre-emption thresholds, priority levels, and resource reservation durations based on traffic conditions and service requirements. For time-sensitive applications, the system adjusts parameters to minimize pre-emption latency, while for reliability-critical applications, it tightens pre-emption triggers. This parameter adaptation allows the system to optimize the trade-off between reliability and latency for different V2X scenarios.
3Reliability
If multiple retransmissions are supported for high reliability, then packet delivery reliability is improved, but resource consumption increases
Solution Approach 1:
The system implements feedback mechanisms where receiving UEs send acknowledgment signals to transmitting UEs about successful packet reception. Based on this feedback, transmitting UEs determine whether retransmission is necessary. This feedback-driven approach ensures high reliability by performing retransmissions only when needed, avoiding unnecessary resource consumption from redundant transmissions while maintaining robust error correction for challenging channel conditions.
Solution Approach 2:
The system supports multiple retransmission opportunities but does not always utilize them. Instead of forcing a fixed number of retransmissions, the system performs partial retransmission actions based on actual channel conditions and packet importance. For critical safety packets, the system may employ excessive retransmission actions to ensure delivery, while for less critical data, it uses fewer retransmissions, optimizing the balance between reliability and resource consumption.
Data Source
AI summary
Aspects of the present disclosure are related to a method performed by a user equipment (UE). The method includes selecting a candidate resource set with a plurality of candidate resources from a resource selection window. The plurality of candidate resources includes a reserved resource that is reserved by at least one other UE. The method includes determining that the reserved resource is associated with a priority level PRX that is higher than a transmission priority level PTX associated with the UE. The method further includes excluding the reserved resource from the candidate resource set based at least in part on the determining.


