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Packet Delivery Ratio Prediction for V2V Based on Radio Environment Map Considering Hidden Terminal Problem

机译:考虑隐藏终端问题,基于无线电环境图的V2V数据包传递比预测

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摘要

Recently, vehicle-to-vehicle communication has been envisaged to be one of the technologies for realizing highly safe connected and automated driving. One of the approaches for predicting the radio environment is the use of a measurement-based spectrum database, which stores various pieces of information on the radio environment of data received and collected by vehicles; however, prediction of an accurate packet delivery ratio (PDR) with consideration of packet collisions is difficult if the vehicle density changes after the generation of PDR maps. This paper proposes a method for predicting the PDR with consideration of packet collisions, including the influence of hidden nodes, by using the positions and number of vehicles.
机译:最近,已经设想车辆到车辆通信是实现高度安全连接和自动驾驶的技术之一。预测无线电环境的方法之一是使用基于测量的频谱数据库,其存储有关接收的数据的无线电环境的各种信息,由车辆收集;然而,如果在PDR图的产生之后的车辆密度改变,则考虑到分组碰撞的准确分组传递比(PDR)的预测。本文提出了一种通过考虑分组碰撞预测PDR的方法,包括使用车辆的位置和数量来预测分组碰撞,包括隐藏节点的影响。

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