Abstract
For the indicator system that affects user perception, voice services such as user traffic, average call duration, call drop rate, congestion rate, paging failure rate, call start failure rate, etc; For data services, such as user connection success rate, Internet access rate, etc. The following figure shows the system architecture of the web-based user awareness assessment system. Through the network infrastructure and signaling detection system, the original signaling monitoring data, policy data of each call, analysis data collection, core network traffic statistics and alarm information are collected on a platform, and then through the preprocessing of data, a report based on the user awareness evaluation system is generated to identify problems before users, solve problems in time and provide work efficiency, Provide user perceived satisfaction. The purpose of the research is to find out the influence of the add or decrease of the base station to the capacity of the whole network in order to deal with it when we build or rebuild some base stations in the network. The research takes use of the Gaussian white noise channel as the model of the channel. And every single cell is divided into two parts to calculate the interference and the capacity of the channel. The standard to divide the cells is the base station. As the number of cells increases, the capacity of the whole network increases.
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