In this paper, we present a framework for the dynamic selection of the wireless channels used to deliver information-rich data streams to edge servers. The approach we propose is data-driven, where a predictor, whose output informs the decision making of the channel selector, is built from available data on the transformation imposed by the network on previously transmitted packets. The proposed technique is contextualized to real-time video streaming for immediate processing. The core of our framework is the notion of probes, that is, short bursts of packets transmitted over unused channels to acquire information while generating a controlled impact on other active links. Results indicate a high accuracy of the prediction output and a significant improvement in terms of received video quality when the prediction output is used to dynamically select the used channel for transmission.

中文翻译：

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网络边缘实时视频流的数据驱动路径选择

在本文中，我们提出了一个用于动态选择无线信道的框架，用于向边缘服务器提供信息丰富的数据流。我们提出的方法是数据驱动的，其中预测器的输出通知信道选择器的决策，它是根据网络对先前传输的数据包施加的转换的可用数据构建的。所提出的技术被上下文化到实时视频流以进行即时处理。我们框架的核心是探测的概念，即通过未使用的信道传输的短数据包突发以获取信息，同时对其他活动链路产生受控影响。