C-V2X模式下自主资源选择的估计与预留

Saif Sabeeh, P. Sroka, K. Wesołowski
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引用次数: 13

摘要

本文研究了蜂窝车对万物通信(C-V2X)中的分散资源选择问题。研究了分组冲突的抗免疫力和资源分配的选择。研究发现,在资源分配估计和保留的基础上提高碰撞率和包接收率是提高消息广播可靠性的最佳途径。然而,基于感知的半持久调度(S-SPS)已经被提出用于C-V2X模式4。S-SPS存在半双工错误、终端隐藏错误、报文冲突错误等问题。我们提出了一种以降低碰撞率和提高PRR为目标的算法来提高性能。这个想法是,每辆车都列出了接收到的具有相同随机计数器的数据包的所有资源位置。这允许每个终端估计下一个资源选择中哪个资源位置是空闲的。此外,当随机计数器达到零时,列表中宣布的下一个位置将是当前位置。这样车辆就不需要依赖于传感过程,提高了资源利用率。我们的仿真表明,与S-SPS相比,我们提出的算法的性能有了显着提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation and Reservation for Autonomous Resource Selection in C-V2X Mode 4
In this paper, the decentralized resource selection for Cellular Vehicle to Everything (C-V2X) communication is investigated. The immunity against packet collisions and selection of resource allocation are examined. It is found that the improvement of collision ratio and packet reception ratio (PRR) with the estimation and reservation of resource allocation, is the best way to improve the message broadcasting reliability. However, Sensing-based Semi-Persistent Scheduling (S-SPS), has been proposed for C-V2X Mode 4. The S-SPS faces several serious problems, like half duplex errors, hidden terminal errors, and packet collision errors. We propose an algorithm to enhance the performance aimed at decreasing the collision ratio and increasing PRR. The idea is that each vehicle lists all resource locations of the received packets that have the same random counter. This allows each terminal to estimate which resource location will be free in the next resource selection. Also, the announced next location in the list will be the current location when the random counter reaches zero. This way the vehicle does not need to depend on the sensing process, and resources utilization is improved. Our simulations show a significant improvement in the performance of our proposed algorithm as compared to S-SPS.
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