Bandwidth forecasting in Mobile Broadband (MBB) networks is a challenging task, particularly when coupled with a degree of mobility. In this work, we introduce HINDSIGHT++, an open-source R-based framework for bandwidth forecasting experimentation in MBB networks with Long Short Term Memory (LSTM) networks. We instrument HINDSIGHT++ following an Automated Machine Learning (AutoML) paradigm to first, alleviate the burden of data preprocessing, and second, enhance performance related aspects. We primarily focus on bandwidth forecasting for Fifth Generation (5G) networks. In particular, we leverage 5Gophers, the first open-source attempt to measure network performance on operational 5G networks in the US. We further explore the LSTM performance boundaries on Fourth Generation (4G) commercial settings using NYU-METS, an open-source dataset comprising of hundreds of bandwidth traces spanning different mobility scenarios. Our study aims to investigate the impact of hyperparameter optimization on achieving state-of-the-art performance and beyond. Results highlight its significance under 5G scenarios showing an average Mean Absolute Error (MAE) decrease of near 30% when compared to prior state-of-the-art values. Due to its universal design, we argue that HINDSIGHT++ can serve as a handy software tool for a multitude of applications in other scientific fields.

中文翻译：

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移动性下移动宽带网络中带宽预测的长期短期记忆网络

移动宽带（MBB）网络中的带宽预测是一项具有挑战性的任务，尤其是在与一定程度的移动性结合时。在这项工作中，我们介绍了HINDSIGHT ++，这是一个基于R的开源框架，用于具有长期短期记忆（LSTM）网络的MBB网络中的带宽预测实验。我们遵循自动机器学习（AutoML）范式来检测HINDSIGHT ++，以首先减轻数据预处理的负担，其次改善与性能相关的方面。我们主要专注于第五代（5G）网络的带宽预测。特别是，我们利用5Gophers，这是第一个开源尝试，用于测量美国运营5G网络上的网络性能。我们将使用NYU-METS进一步探索第四代（4G）商业环境下的LSTM性能界限，一个开源数据集，包含跨越不同移动性场景的数百条带宽迹线。我们的研究旨在调查超参数优化对实现最新性能及其他方面的影响。结果突显了其在5G场景下的重要性，显示出与先前的最新水平相比，平均平均绝对误差（MAE）降低了近30％。由于其通用设计，我们认为HINDSIGHT ++可以用作其他科学领域中众多应用程序的便捷软件工具。结果突显了其在5G场景下的重要性，显示出与先前的最新水平相比，平均平均绝对误差（MAE）降低了近30％。由于其通用设计，我们认为HINDSIGHT ++可以用作其他科学领域中众多应用程序的便捷软件工具。结果突显了其在5G场景下的重要性，显示出与先前的最新水平相比，平均平均绝对误差（MAE）降低了近30％。由于其通用设计，我们认为HINDSIGHT ++可以用作其他科学领域中众多应用程序的便捷软件工具。