论文标题
5G NR-V2X中半渗透计划吞吐量的性能分析：MAC透视图
Performance Analysis of Semi-Persistent Scheduling Throughput in 5G NR-V2X: A MAC Perspective
论文作者
论文摘要
第五代（5G）新无线电（NR）车辆到全部用途（V2X）中的数据包吞吐量高度依赖于中等访问控制（MAC）的调度算法，而没有基本站的参与。特别是，在超覆盖场景中，第三代合作伙伴项目（3GPP）的V2X资源调度已标准化了半持久计划（SPS）算法。本文从MAC的角度分析了NR-V2X SPS吞吐量，其中数据包接收率（PRR）和半双链（HD）效应主导。我们首先研究完全连接的车辆网络中的平均吞吐量，其中所有车辆共享相同的吞吐量。随后，分析了部分连接的车辆网络中的平均吞吐量作为距离的函数。蒙特卡洛模拟结果表明，增加资源保持概率可以改善平均吞吐量。同时，在部分连接的网络中，较低的资源保留概率很容易通过增加亚通道数来获得较高的吞吐量增益。
The packet throughput in 5th Generation (5G) New Radio (NR) Vehicle-to-Everything (V2X) is highly dependent on the Medium Access Control (MAC) based scheduling algorithm with no base station participation. In particular, the Semi-Persistent Scheduling (SPS) algorithm has been standardized by the 3rd Generation Partnership Project (3GPP) for V2X resource scheduling in the out-of-coverage scenario. This paper analyzes the NR-V2X SPS throughput from the MAC perspective, where the packet reception ratio (PRR) and half-duplex (HD) effect dominate. We first investigate the average throughput in the fully connected vehicular network, in which all the vehicles share the same throughput. Subsequently, the average throughput as a function of distance in the partially connected vehicular network is analyzed. The Monte Carlo simulation results show that increasing the resource keeping probability can improve the average throughput. Meanwhile, in the partially connected network, the lower resource keeping probability is prone to obtaining the higher throughput gain by increasing the number of subchannels.
