Predictive Repacketization of Periodic Messages for Bandwidth Efficiency in Cellular V2X Environment

被引:1
|
作者
Heo, Songmu
Kim, Hyogon
机构
基金
新加坡国家研究基金会;
关键词
Cellular V2X; collective perception; CPM generation rule; prediction; deep learning; repacketization; packet reception ratio (PRR);
D O I
10.1109/VTC2023-Spring57618.2023.10200023
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As newer generations of use cases are added for vehicle-to-everything (V2X) communication, wireless channel congestion is expected in the Intelligent Transport Systems (ITS) band because the band allocation is limited to 20 to 40 MHz in most countries. Since V2X Day1, Day2, and Day3 all adopt periodic broadcast for their most fundamental messages, it is necessary to develop methods for minimizing the amount of periodic broadcast traffic as far as it does not impair the purpose of V2X communication. For this reason, there has been a recent effort to reduce packetization and channel access overhead in the Dedicated Short Range Communication (DSRC) environment. However, no solution has been explored yet in the cellular V2X environment where packetization and channel access methods are different. In this paper, we explore the traffic reduction effect when using intelligent packetization method in addition to packet transmission timing prediction and allocation proposed in our previous work. Simulation results show that the number of wasted resources and packet collisions can be greatly reduced compared to using standard SPS. Consequently, the packet reception ratio (PRR) is increased and the target PRR for safety applications can be achieved at much longer distances.
引用
收藏
页数:5
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