论文标题
应用社交活动数据以管理蜂窝网络
Applying Social Event Data for the Management of Cellular Networks
论文作者
论文摘要
Internet提供了越来越多的社交数据来源：日历，事件聚合器，社交网络，浏览器等。此外，从这些来源收集信息的机制，例如Web服务，语义Web和大数据技术，也变得更加易于访问和高效。这允许对主要预期事件及其相关人群进行详细的预测。由于对服务提供的需求不断增长，尤其是在城市地区，因此有关这些事件的信息将对运营，管理和维护（OAM）任务非常有用，因为社交事件在很大程度上影响了蜂窝网络的性能。因此，本文介绍了自动获取和处理社交数据的框架，以及它们与网络元素（NES）及其性能的关联。该系统的主要功能已被设计为直接在实际网络中工作的功能。分析提出方法的不同OAM应用程序，并在实际部署中评估系统。
Internet provides a growing variety of social data sources: calendars, event aggregators, social networks, browsers, etc. Also, the mechanisms to gather information from these sources, such as web services, semantic web and big data techniques have become more accessible and efficient. This allows a detailed prediction of the main expected events and their associated crowds. Due to the increasing requirements for service provision, particularly in urban areas, having information on those events would be extremely useful for Operations, Administration and Maintenance (OAM) tasks, since the social events largely affect the cellular network performance. Therefore, this paper presents a framework for the automatic acquisition and processing of social data, as well as their association with network elements (NEs) and their performance. The main functionalities of this system, which have been devised to directly work in real networks, are defined and developed. Different OAM applications of the proposed approach are analyzed and the system is evaluated in a real deployment.
