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An Android-based distributed test data acquisition intelligent system for mobile network optimization

机译:基于Android的分布式测试数据采集智能系统,用于移动网络优化

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With the rapid development of mobile networks, mobile communication network optimization plays an increasingly important role, and the data collection before optimization is a very important process. This paper presents a distributed test data acquisition system, which is deployed in an Android-based cell phone that is conveniently carried. Our system uses a positioning method which combines GPS and LBS based on RSSI to get the location of mobile phones regularly, simultaneously the mobile communication networks status data are collected. Then the system uploads the data to certain servers. Every Android phone can be test data source, and these data would gather into a data cloud on the server side, which guarantees the quality of mobile network optimization. The optimization engineers can use these data to analyze the network overlay, received signal strength, co-channel and adjacent channel, cover extra, etc. Compared with the current DT and other data acquisition methods, our system is suitable for both indoor and outdoor use, provides huger data and costs less money.
机译:随着移动网络的飞速发展,移动通信网络的优化起着越来越重要的作用,而优化前的数据采集是一个非常重要的过程。本文提出了一种分布式测试数据采集系统,该系统部署在方便携带的基于Android的手机中。我们的系统使用基于RSSI的GPS和LBS相结合的定位方法来定期获取手机的位置,同时收集移动通信网络的状态数据。然后,系统将数据上传到某些服务器。每个Android手机都可以作为测试数据源,这些数据将收集到服务器端的数据云中,从而保证了移动网络优化的质量。优化工程师可以使用这些数据来分析网络覆盖,接收信号强度,同信道和相邻信道,覆盖范围等。与当前的DT和其他数据采集方法相比,我们的系统适用于室内和室外使用,可提供更庞大的数据,且成本更低。

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