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How Cars Talk Louder, Clearer and Fairer: Optimizing the Communication Performance of Connected Vehicles via Online Synchronous Control

机译:如何通过在线同步控制优化连通车辆的通信性能如何

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The connected vehicles have been considered as a remedy for modern traffic issues, potentially saving hundreds of thousands of lives every year worldwide. The Dedicated Short-Range Communications (DSRC) technology is an essential building block of this promising vision. DSRC faces volatile vehicular environments, where not only wireless propagation channels but also network topologies vary rapidly. Moreover, traffic congestions during rush hours may lead to an unprecedentedly high density of broadcasting radios, resulting in compromised reliability, efficiency and fairness of DSRC. In order to optimize the performance of DSRC, we develop a novel Online Control Approach of power and Rates (OnCAR). Supported by systematic control theories, OnCAR performs stably even in the dynamic and unpredictable vehicular environments. To the best of our knowledge, OnCAR is the first solution to address the strong coupling between communication variables. It adopts a multi-variable control model to synchronously adjust transmission power and data rates, which are two major variables determining the performance of DSRC. In addition, OnCAR leverages receiver-side measurements of performance metrics to strike a balance between overall performance and fairness. Compared with the state of the art, OnCAR enhances the overall reliability and efficiency of DSRC by 23.7% and 30.1%, respectively. Meanwhile, these numbers are achieved with a 40.1% improvement in fairness.
机译:连接的车辆被认为是现代交通问题的补救措施,潜在每年全世界都节省数十万人类。专用的短程通信(DSRC)技术是这一有前景愿景的基本构建块。 DSRC面向易失性的车辆环境,不仅是无线传播通道,而且网络拓扑也会迅速变化。此外,高峰时代的交通拥堵可能导致前所未有的广播无线电密度,导致DSRC的可靠性,效率和公平性造成受损。为了优化DSRC的性能,我们开发了一种新的在线控制权力和速率(ONCAR)。甚至在动态和不可预测的车辆环境中,SONCAR支持的系统控制理论支持。据我们所知,ONCAR是第一个解决通信变量之间强耦合的解决方案。它采用多变量控制模型来同步调整传输功率和数据速率,这是确定DSRC性能的两个主要变量。此外,ONCAR利用绩效指标的接收器侧测量,以在整体性能和公平之间取得平衡。与现有技术相比,ONCAR分别提高了DSRC的总体可靠性和效率分别为23.7%和30.1%。同时,这些数字达到了40.1%的公平性。

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