Han, Qingwen (Chongqing University), Zhou, Miao (Chongqing University), Zeng, Lingqiu (Chongqing University), Ye, Lei (Chongqing University), Yang, Letian (Chongqing University)

NR-V2X Mode2 Resource Selection Window Size Adjustment Based on Resource Priority Index

Scheduled for presentation during the Regular Session "Communications and Protocols in ITS" (WeAT11), Wednesday, September 25, 2024, 11:30−11:50, Salon 19/20

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 3, 2024

Abstract

With the development of C-V2X (Cellular Vehicular-to-Everything) technologies, the attention of industry and academic research is transiting from LTE-V2X to NR-V2X. NR-V2X supports advanced driving use cases by offering low latency, high reliability, and high throughput communication approaches. DS (Dynamic Scheduling), one of the resource allocation schemes proposed by 3GPP R16 (Release 16), is considered for use in aperiodic traffic, which is classified according to priority level, thus brings a new problem: how to express message dissemination priority by the resource allocation window size. In this paper, we focus on the V2V communication mode, consider both risk level and application priority, and define an index called RPI (Resource Priority Index), which is used as a basis for resource allocation window size adjustment. A two-stage fuzzy reasoning model is used to obtain RI (Risk Index), while a GRU (Gated Recurrent Unit)-ARIMA (Autoregressive Integrated Moving Average) model is constructed to fulfill RI prediction. Then a RPI-based resource selection procedure is proposed. Experimental results show that the proposed RPI-NR-V2X method performs well, thus verifying its validity.