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Connected Vehicles in Cellular Networks: Multi-Access Versus Single-Access Performance

机译:蜂窝网络中的已连接车辆:多访问与单址性能

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Connected vehicles can make roads traffic safer and more efficient, but require the mobile networks to handle time-critical applications. Using the MONROE mobile broadband measurement testbed we conduct a multi-access measurement study on buses. The objective is to understand what network performance connected vehicles can expect in today's mobile networks, in terms of transaction times and availability. The goal is also to understand to what extent access to several operators in parallel can improve communication performance. In our measurement experiments we repeatedly transfer warning messages from moving buses to a stationary server. We triplicate the messages and always perform three transactions in parallel over three different cellular operators. This creates a dataset with which we can compare the operators in an objective way and with which we can study the potential for multi-access. In this paper we use the triple-access dataset to evaluate single-access selection strategies, where one operator is chosen for each transaction. We show that if we have access to three operators and for each transaction choose the operator with best access technology and best signal quality then we can significantly improve availability and transaction times compared to the individual operators. The median transaction time improves with 6% compared to the best single operator and with 61% compared to the worst single operator. The 90-percentile transaction time improves with 23% compared to the best single operator and with 65% compared to the worst single operator.
机译:连接的车辆可以使道路交通更安全,更高效,但需要移动网络处理时间关键的应用。使用Monroe移动宽带测量测试平台对公共汽车进行多访问测量研究。目的是在交易时间和可用性方面,了解在当今移动网络中可以在当今移动网络中期望的网络性能连接的车辆。目标还可以理解,在多大程度上并行访问多个运营商可以改善通信性能。在我们的测量实验中,我们将警告消息重复将公共汽车转移到静止服务器。我们一式三份,并始终在三个不同的蜂窝运算符上并行执行三项交易。这会创建一个数据集,我们可以使用它以客观方式比较运营商,我们可以研究多次访问的可能性。在本文中,我们使用三维访问数据集来评估单个访问选择策略,其中每个事务选择一个运算符。我们展示如果我们访问三个运营商,并且每次交易选择具有最佳访问技术和最佳信号质量的操作员,那么我们可以显着提高与各个运营商相比的可用性和交易时间。与最佳单次运算符相比,中位数交易时间以6%提高,而61%与最差的单个操作员相比。与最佳单件操作员相比,90百分位的交易时间随23%而增加,与最差单个操作员相比,65%。

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