It has been long established that crowds generated by social events (e.g., sports matches, parades, fairs…) produce a high impact on cellular network service. However, to estimate such an impact, it is necessary to use data sources classically outside the mobile operator control. In this way, and following a social-aware approach, the forecasting mechanisms should be able to combine both social and network information to obtain reliable predictions. To this end, the present work develops a complete system for its use in the prediction of cellular metrics (e.g., connections, throughput…). The performance of the proposed solution is evaluated in a real cellular network, showing the capabilities of the approach to provide accurate forecasting.

中文翻译：

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蜂窝网络指标的社会感知预测

长期以来，社交活动（例如，体育比赛、游行、集市……）产生的人群对蜂窝网络服务产生很大影响，这一点早已得到证实。然而，为了估计这种影响，有必要使用移动运营商控制之外的经典数据源。通过这种方式，并遵循社会意识的方法，预测机制应该能够结合社会和网络信息以获得可靠的预测。为此，目前的工作开发了一个完整的系统，用于预测蜂窝指标（例如，连接、吞吐量……）。所提出的解决方案的性能在真实的蜂窝网络中进行了评估，显示了该方法提供准确预测的能力。