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车对基础设施的IEEE 802.11ad Wi-Fi数据集。

Vehicle-to-infrastructure IEEE 802.11ad Wi-Fi dataset.

作者信息

Mattos Mateus, Rodrigues António, Meireles Rui, Aguiar Ana

机构信息

Instituto de Telecomunicações, FEUP DEEC, University of Porto, Portugal.

Computer Science Department, Vassar College, USA.

出版信息

Data Brief. 2023 Feb 9;47:108964. doi: 10.1016/j.dib.2023.108964. eCollection 2023 Apr.

Abstract

Despite not being designed for vehicular use, the high bandwidth offered by IEEE 802.11ad makes it an enticing proposition for opportunistic Vehicle-to-Infrastructure (V2I) communication. Because it operates at a high frequency of 60 GHz, 802.11ad suffers from high attenuation. To combat this, it uses antenna directionality to improve communication range. Directionality is primarily achieved by selecting an antenna configuration, or sector, from a list of preconfigured ones. Choosing a good antenna sector is difficult in V2I environments, as the fast mobility involved affects the alignment between communicating nodes. This article describes a dataset that supports analysis of Commercial Off-The-Shelf (COTS) 802.11ad device behavior in an experimental V2I communication scenario. More specifically, the dataset summarizes the results from a set of experiments in which a mobile client drove around a stationary Access Point (AP) while downloading data from it. Information regarding the client's mobility, control frames exchanged, and achieved throughput was collected. This dataset can support realistic analysis of 802.11ad COTS equipment behaviors, such as antenna selection and communication range, in a vehicular communication scenario.

摘要

尽管IEEE 802.11ad并非专为车辆使用而设计,但其提供的高带宽使其成为机会性车对基础设施(V2I)通信的诱人选择。由于它在60吉赫兹的高频下运行,802.11ad存在高衰减问题。为了解决这个问题,它使用天线方向性来提高通信范围。方向性主要通过从预配置的列表中选择天线配置或扇区来实现。在V2I环境中选择一个好的天线扇区很困难,因为其中涉及的快速移动性会影响通信节点之间的对齐。本文描述了一个数据集,该数据集支持在实验性V2I通信场景中对商用现货(COTS)802.11ad设备行为进行分析。更具体地说,该数据集总结了一组实验的结果,在这些实验中,移动客户端在围绕固定接入点(AP)行驶的同时从其下载数据。收集了有关客户端移动性、交换的控制帧以及实现的吞吐量的信息。该数据集可以支持在车辆通信场景中对802.11ad COTS设备行为进行实际分析, 例如天线选择和通信范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/430b/9957741/1c81b136f716/gr1.jpg

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