NR V2X Resource Selection Exceptional Pools
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing exceptional resource pools for Vehicle-to-Everything (V2X) communications, particularly in scenarios requiring high reliability and low latency, due to increased traffic loads and varying Quality of Service (QoS) requirements.
Innovation Solution
A method where user equipment (UE) selectively uses exceptional resource pools based on exceptional conditions, allocating HARQ feedback resources for enhanced reliability, and configures exceptional pools with or without feedback resources depending on QoS and occupancy levels, allowing for flexible resource selection mechanisms like random or short-term sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exceptional resource pools are configured with HARQ feedback resources for high reliability scenarios, then communication reliability is improved, but resource overhead and system complexity increase
Solution Approach 1:
The resource pool is segmented into normal resource pools and exceptional resource pools based on different QoS requirements. Exceptional resource pools are further segmented into those with HARQ feedback resources and those without. This segmentation allows the system to configure HARQ feedback resources only where needed for high reliability scenarios, rather than uniformly across all resource pools, thus improving reliability where necessary while controlling overall system complexity.
Solution Approach 2:
Different parts of the resource pool configuration have different qualities: normal resource pools use basic random selection, while exceptional resource pools can use enhanced sensing mechanisms and HARQ feedback. This local quality enhancement applies complexity and reliability improvements only to the specific subset of resource pools that require them, rather than uniformly across the entire system.
2Measurement precision
If UE performs short-term sensing for exceptional resource pool selection, then resource allocation accuracy is improved, but processing time and energy consumption increase
Solution Approach 1:
Instead of performing full long-term sensing for all resource pool selections, the UE performs partial short-term sensing only for exceptional resource pools when exceptional conditions are detected. This partial action provides sufficient accuracy for exceptional scenarios without the time cost of complete sensing procedures in all cases.
Solution Approach 2:
The sensing duration and depth are dynamically adjusted based on the situation: normal resource pools use basic random selection with minimal sensing, while exceptional resource pools trigger short-term sensing. This dynamic approach allows the system to adapt the measurement precision and time investment to the actual requirements of each transmission scenario.
Data Source
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AI summary
Provided herein is a method for performing, by a first apparatus (100), resource selection in a wireless communication system. The method may include the steps of receiving system information including configuration information related to exceptional pools from a base station (200); selecting the first exceptional pool or the second exceptional pool, based on at least one of a physical layer problem, a connection re-establishment, a handover, or a normal resource pool which is unavailable; selecting a resource from the selected exceptional pool; and performing a sidelink (SL) communication using the resource.