Rate Adaptation Mechanism with Available Data Rate Trimming and Data Rate Information Provision for V2I Communications
Rate Adaptation Mechanism with Available Data Rate Trimming and Data Rate Information Provision for V2I Communications
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DOI：
10.1155/2019/3910127
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发表时间：
2019-04
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影响因子：
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通讯作者：
S. Kashihara;Takemi Sahara;S. Kaneda;C. Ohta
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文献类型：
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作者：
S. Kashihara;Takemi Sahara;S. Kaneda;C. Ohta
我们研究了一种速率自适应机制，用于在车辆到基础设施（V2 I）环境中的移动过程中使用Wi-Fi来提高联网车辆和路边单元（RSU）之间的通信性能。Wi-Fi通信在移动期间为联网车辆提供各种有吸引力的服务。然而，由于连接的车辆通常以高速移动，与作为接入点工作的RSU的通信性能降低，因为无线链路质量突然且连续地波动。然后，我们提出了一种速率自适应机制，采用以下两个主要功能，以减轻这种恶化的通信性能：可用的数据速率修整和数据速率信息提供。为了减轻通信的降级，前者避免使用过低的数据速率，而后者则基于车辆的位置和速度从足够数据速率的数据集提供适合于信道质量的数据速率信息。然而，从数据集提供的数据速率信息可能并不总是适当的，因为各种不确定的因素，如多径衰落和阴影。因此，所提出的方法还采用基于测量的函数来补偿数据集的这种缺点。仿真实验评估了10，60和100公里/小时的单车辆和多车辆的情况下的通信性能。仿真结果表明，该方法总体上提供了上级的通信性能，在涉及多个车辆的情况下，与现有的计数器和基于样本的方法相比。
We study a rate adaptation mechanism for improving communication performance between a connected vehicle and a roadside unit (RSU) using Wi-Fi during movement in a vehicle-to-infrastructure (V2I) environment. Wi-Fi communication provides various attractive services to connected vehicles during movement. However, as a connected vehicle is generally moving at high speed, the communication performance with an RSU that works as an access point is degraded because wireless link quality fluctuates abruptly and continuously. We then propose a rate adaptation mechanism employing the following two main features to mitigate such deterioration in communication performance: available data rate trimming and data rate information provision. To alleviate degradation of communication, the former avoids usage of excessively low data rates and the latter then provides data rate information suitable for channel quality from a dataset of adequate data rates based on the vehicle’s location and speed. However, the data rate information provided from a dataset may not always be appropriate because of various indefinite factors such as multipath fading and shadowing. Thus, the proposed method also employs a measurement-based function to compensate for such a drawback of the dataset. Simulation experiments evaluate communication performance for 10, 60, and 100 km/h in single-vehicle and multiple-vehicles cases. Simulation results showed that the proposed method overall provides superior communication performance in situations involving more than one vehicle, in comparison with existing counter- and sample-based methods.