量化边带信息对蜂窝V2X子信道调度的影响
Impact of Quantized Side Information on Subchannel Scheduling for Cellular V2X
摘要：
在版本14中，3GPP完成了蜂窝车辆到一切（C-V2X）通信的第一个版本，其中引入了两种模态。这些方案中的一个方案，称为\textit{mode-3}，需要来自eNodeB的支持以便实现子信道调度。本文讨论了一种图论方法，半持久调度（SPS）在\textit{mode-3}利用感测机制，车辆可以监测信号-干扰-加-噪声比（SINR）水平跨侧链路子信道。eNodeB向车辆请求这种测量，并利用它们来完成适当的子信道分配。然而，由于SINR值--在此也被称为边信息--跨越宽范围，因此需要量化。我们的结论是，每辆车每100毫秒3位可以提供足够的粒度，以保持适当的性能，而不会出现严重的退化。此外，该算法与伪随机和贪婪SPS算法进行了比较。
英文摘要：
In Release 14, 3GPP completed a first version of cellular vehicle--to--everything (C-V2X) communications wherein two modalities were introduced. One of these schemes, known as \textit{mode-3}, requires support from eNodeBs in order to realize subchannel scheduling. This paper discusses a graph theoretical approach for semi-persistent scheduling (SPS) in \textit{mode-3} harnessing a sensing mechanism whereby vehicles can monitor signal--to--interference--plus--noise ratio (SINR) levels across sidelink subchannels. eNodeBs request such measurements from vehicles and utilize them to accomplish suitable subchannel assignments. However, since SINR values---herein also referred to as side information---span a wide range, quantization is required. We conclude that 3 bits per vehicle every 100 ms can provide sufficient granularity to maintain appropriate performance without severe degradation. Furthermore, the proposed algorithm is compared against pseudo-random and greedy SPS algorithms.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
